Electricity Payment Research Articles

Toward sustainable environmental management: Insights from Chinese first-tier cities' consumers' response to green electricity payment policies

China's renewable energy industry is facing the challenge of overcapacity. The environmental management literature suggests that consumers' participation in the green electricity market holds immense potential in addressing renewable energy consumption concerns. However, the question of how payment policies influence China's consumers' willingness to pay for green electricity remains unresolved. Based on 2854 valid questionnaires from a survey conducted in China's four first-tier cities in 2023, our research findings reveal: (1) While 97.9% of consumers express a willingness to use green electricity, only 63.1% are willing to pay a higher cost, indicating the existence of a “value-action” gap between environmental awareness and actual willingness to pay. (2) China's consumers' willingness to pay for green electricity is approximately 38.4 RMB per month. This figure has decreased by 5.7 RMB compared to our survey in 2019. (3) Consumers' willingness to pay will be influenced by the attitudes of those around them. (4) The voluntary payment policy positively impacts consumers' willingness to pay for green electricity. (5) Male, younger, lower education level, higher income, and larger household size consumers exhibit a higher willingness to pay. (6) Electricity price sensitivity weakens the impact of payment policies on willingness to pay.

Integration of a Smart Power Meter for Monitoring Household Energy Consumption in Prepaid Electrical Systems

Indonesian households have widely embraced the prepaid electricity payment system. The system relies on electricity credits, with each electrical device consuming credits as a unit of measurement for energy usage. A common issue is the automatic cutoff of electricity supply when the credits are depleted. This research designed a smart power meter using Current Transformer and voltage sensors. The electrical token value is then stored in the Arduino's EEPROM before being transmitted to the NodeMCU. The NodeMCU transfers the data to Antares using the MQTT protocol to forward it to the subscriber, typically an Android device. The data sent to the Android application includes current, voltage, active power, frequency, cos φ, and electrical credits. The measurement of electricity consumption on a kWh meter involves subtracting the value of the input electricity token from the device-measured electricity usage. The device sends a WhatsApp message when the remaining credit exceeds 10 kWh. The prototype of the smart power meter demonstrates practical functionality, with the current sensor accuracy at 99.983% and the voltage sensor accuracy at 99.999%. The largest measurement difference of the electric credit balance between the PLN Meter and the prototype is 0.04 kWh over a test period of 72 hours.

RANCANG BANGUN WEB MONITORING SISTEM PADA MESIN KONVERSI LIMBAH ORGANIK MENJADI ENERGI LISTRIK

UD. Nadi Utama is one of the producers and distributors of traditional snacks. As a snack producer, UD Nadi Utama supplies 5 minimarkets every day. To support its business, UD Nadi Utama installs PLN electricity with an average electricity payment of IDR 750,000 per month which is considered to burden production costs. After conducting observations, the capstone project team found that UD, Nadi Utama produces 25 kg of coconut fiber and shell per day. From the problems and potential found at UD Nadi Utama, team capstone project provides a solution in the form of an incinerator. This incinerator has a converter device that can convert the heat generated from combustion into electrical energy. However, monitoring the data of voltage, current, temperature, and the power generated by this incinerator is quite difficult for ordinary users. Because the resulting data is stored in a data logger that can only be downloaded in the form of excel files and cannot be known directly (real-time). This makes it difficult to know when the temperature of the device has decreased, and the amount of power generated by the device. At UD Nadi Utama itself, its human resources have a good ability to use the web system on their mobile devices. From the problems with the conversion tool and the potential of human resources at UD Nadi Utama. A website-based monitoring system is created, which displays the data generated by the data logger in almost real time.

Promoting Cashless Economy: The Use of Online Electricity Payment Channels in the Ibadan Metropolis, Nigeria

The study was designed to investigate the level of usage of online electricity payment channels (OEPC), as well as the influential factors determining the use of the channels. The correlation type of survey research design was adopted. The population consisted of all electricity consumers in the Ibadan metropolis, Nigeria. Out of the 236 responses, about two-thirds (65.3%) were users of OEPC, while 34.7% were not. A significant relationship, strong and positive correlation was found between usefulness, ease of use, convenience ( r = 0.710, 0.704, 0.623, respectively) and use of OEPC. The relationship between security and computer self-efficacy and the use of OEPC is also positive and significant but the correlation coefficients are low ( r = 0.279, 0.252, respectively), indicating a weak relationship. All the variables jointly predicted the use of OEPC, while a 24.0% variation in use was influenced by the variables. The study concluded that the use of OEPC by consumers in the Ibadan metropolis was moderate and that the usefulness of OEPC, ease of use, convenience of using, security of the channels and the computer self-efficacy of the users influenced the use of the channels. The implication is that these factors could be leveraged to promote an increase in awareness, adoption and use of OEPC in Nigeria.

ANALISIS PERHITUNGAN AUDIT ENERGI PADA SISTEM KELISTRIKAN GEDUNG ASRAMA UNIVERSITAS TEKNOLOGI SUMBAWA

The development of science and technology in the world has created many new innovations, including electronic equipment. The use of electronic devices in everyday life is very easy and effective. Along with technological developments and the magnitude of developments in the above sectors in the province of West Nusa Tenggara, the demand for electrical energy always increases every year. To overcome the wasteful use of energy which will result in an increase in electricity payments, energy efficiency must be carried out. The UTS Dormitory Building, as a middle-level consumer of electrical energy, needs to be analyzed to determine the level of energy consumption efficiency. The purpose of this study was to determine the Energy Consumption Intensity (IKE) in the kWh meter of the Sumbawa University of Technology dormitory and to determine the level of energy consumption and efficiency in the kWh meter of the Sumbawa University of Technology dormitory. The method used in this study was a mixed method (Mixed Method). Research, namely by combining the types of qualitative and quantitative methods. The results of the study obtained that the energy consumption intensity value each year in the kWh of the dormitory building is 12.89 kWh/m2/year. This value is included in the efficient category according to the ASEAN-USAID IKE value standard, namely for a hotel/apartment building the maximum is 300 kWh/m2/year. The value of energy consumption intensity (IKE) every year in kWh of dormitory buildings is included in the efficient criteria.

Pelaksanaan Perjanjian Jual Beli Tenaga Listrik Antara PT. PLN (Persero) dengan Pelanggan Rumah Tangga di Kecamatan Pangkalan Kerinci Kabupaten Pelawawan

The need for electrical energy is the lifeblood of human life; in that case, if you want electricity, you must use the services of PT. PLN (Persero) with the terms and conditions of the agreement between the customer and PT. PLN (Persero). Public relations, both people and PT. PLNs, which are in a position called customers, were born on a bond of agreement. However, several problems occurred between the customer and PT. PLN regarding the agreement that needed to be carried out correctly. The formulation of the problem in this study is how the implementation of the power purchase agreement between PT. PLN (Persero) with household customers in Pangkalan Kerinci District, Pelalawan Regency, and what factors cause obstacles in the power purchase agreement in Pangkalan Kerinci District, Pelalawan Regency. The research method is a sociological, legal research method, namely legal research that wants to see the correlation of people's opinions as customers of PT. PLN (Persero) related to the electricity purchase agreement letter between the community as customers of household needs. The study results show that implementing these rights and obligations and the things agreed upon by the parties in a large percentage can be carried out. And the inhibiting factors are delays in electricity payments with complete or temporary disconnections, pole planting, and parallel connections.

PERSUASIVE ASSISTANCE AND PROBLEM-SOLVING FOR THE ESTABLISHMENT OF VILLAGE-OWNED ENTERPRISES

Background. Programs from local governments to develop and prosper village communities through Village-Owned Enterprises (hereinafter better known as BUMDes) are in line with Law No. 6/2014 article 1 paragraph 6. However, the establishment of BUMDes is still unknown to the village community and many problems make village communities unable to take advantage of BUMDes. The purpose of this activity was to 1) increase knowledge of Tanjung village communities about BUMDes, 2) determine village potential, establishment, and management of BUMDes. Implementation Method. This community service activity was in collaboration with the Lamongan Government Sector and Indonesian Notary Association of East Java Regional Management through "Notary Masuk Desa" program. This activity was carried out in Tanjung Village, Lamongan Regency. This activity starts from providing seminars to village leaders and the Tanjung Village community on how to establish BUMDes until the establishment of BUMDes. Assistance related to all problems while managing BUMDes and providing legal or economic solutions. Findings. BUMDes and Tanjung Village business units that were formed include village electricity businesses, electricity payment services, and agricultural production facilities, providing credit/loans that are easily accessible to the community. During the running period of 6 months, the business unit was running well and problems began when village capital was still used by the credit business unit and the legality aspects of the village business unit that had been formed. Conclusion. BUMDes requires transparent, active, and integrity management to be following the purpose of its formation to improve the economy of the village and community.

Adaptation and application of the Algorithm for Inventive Problem Solving in the design of the automatic control system for pumping water station

The growing demand of visitors to hotels oriented to the ecological and cultural tourism approach represents a challenge for the optimization of water resources, in contrast to traditional hotels, these depend exclusively on water wells. This type of commercial establishment is growing in Latin American countries such as Mexico, El Salvador, Ecuador, as well as in European countries such as Spain. The solution to this problem is of great importance for this type of tourist establishments. The environmental and economic spheres are the most affected due to this problem. This is due to the waste of water and excessive payment for electricity. There are many advantages related to the automation of the pumping system: the ability to save fuel resources, reduce machine wear for maintenance and repair time. This cost and time savings will increase the profits of the hotels, while the workload of the maintenance Department is reduced because the constant monitoring of the water level in the tanks would not be necessary. This article focuses on the specific case of a hotel in the province of La Libertad in El Salvador. The data is analyzed to determine the initial conditions of the technical problem. An algorithm for Inventive Problem Solving is applied in order to develop a system that performs the water supply automatically, receives signals by means of level sensors, starts or stops the pumps (if necessary), and detects water leaks with the use of pressure sensors, reducing the waste of water and electricity.

Biomethane: production, economy, and opportunities for connection to gas distribution networks of Ukraine

The purpose of the work is to study the peculiarities of starting the production (generation) of biomethane in Ukraine, as well as to substantiate the economical features and the possibility of connecting the biomethane generation center to gas distribution networks in the regions of Ukraine. The methods used to study the specified problem are analytical; comparative; theoretical; empirical; systemic; functional; economic and sociological possibilities of application. The production and practical use of biomethane in various production processes of farms, as well as for its consumption by the population for domestic purposes, will contribute to a significant reduction in energy costs. It will contribute to increasing the energy independence of biomethane consumers, as well as the formation and further development of new (regional) enterprises specializing in biomethane production. The results of the research consist of: a thorough study of the concept of biogas and biomethane, raw materials and production technology; technical and economic justification for the construction of a biomethane plant; comparison of the cost of production and sale of electricity and biomethane from biogas; the regulatory and legal aspect regulating the processes of registration, maintenance of the plant, as well as further trading of biomethane; ways and conditions for connecting biomethane producers to gas distribution networks in the regions of Ukraine. All the research results listed above will contribute to the start of biomethane production in the regions of Ukraine. Summarizing the outlined features of connecting biomethane producers to gas distribution networks, the following aspects are worth noting: 1. Operators of gas distribution networks will not buy biomethane directly from producers. After all, the biomethane producer must find a supplier in Ukraine or abroad, or the producer can sell biomethane directly to an industrial consumer. In this case, a supplier's license, or the producer's consumption of biomethane is required. 2. The high level of natural gas prices is increasingly forcing large consumers to look for alternatives to natural gas. Therefore, for agricultural producers, this production cycle is closed. The high level of natural gas prices allows biomethane projects to have a high level of profitability. The process of decarbonization requires abandoning fossil fuels and replacing them with clean, new types of energy, including biomethane. 3. Biomethane compared to electricity. Today, the level of payment for electricity from the state under the "green" tariff is 30-40% of the total level of payment. The state limits payments and reduces opportunities to receive a "green" tariff, valid until 2029, and every year the rates are lower for new facilities. Keywords: Biomethane, biogas, hydrogen, biomass, gas distribution networks, connection to gas distribution networks.

ANALISIS KEBUTUHAN NASABAH ATAS FITUR APLIKASI BIMA MOBILE PADA PT BANK PEMBANGUNAN DAERAH JAWA TENGAH

<em>Intense market competition can affect customer responses to bank performance. Bank need customer responses to their products or services so that they can be used as material for evaluation and improvement in the future. Customer needs continue to change and increasingly diverse in line with development in the world and technology, so companies must be able to meet the needs desired by customers. The purpose of this research is to determine customer responses to the current Bima Mobile service and customer needs for the availability of Bima Mobile application features. In this research the descriptive statistical measurement used is the mean of customer response data and customer needs which have been arranged in a frequency distribution table. The analysis results show that the lowest indicator on the customer response component is occupied by the feature availabilityr, while the highest is application display. For the customer needs component, the analysis results show that the lowest indicator is the availability of the donation payment feature and the highest is the availability of the electricity payment feature. The company can take steps to follow up on customer responses to the features avaibility indicator that occupies the lowest position, by developing the Bima Mobile application features availability according to customer needs.</em>

New conditions for applying surcharges (discounts) to electricity payments for generation and consumption of harmonic component currents

Technical means of suppression of harmonic component currents installed in the consumer's electric network are able to reduce the level of harmonic component currents and reduce the harmful effects of their flow. The consumer's interest in installing such means is significantly increased when discounts (surcharges) are applied to the payment for electricity consumed for generation and consumption of harmonic currents. However, the attempt to apply allowances (discounts) has failed in the past. The article proposes to review and discuss new conditions for the application of surcharges (discounts) to the payment for electricity for generation and consumption of harmonic currents, taking into account the unsuccessful experience of use in the past. The article proposes a methodology for calculating and using surcharges (discounts) to the payment for electricity consumption for generation and consumption of harmonic component currents to manage the power quality in the power supply systems of consumers of a grid organization with nonlinear loads.

Прогнозирование временных рядов. Прогнозирование платежей физических клиентов энергосбытовой компании

This article solves the problem of forecasting a time series which describesing electricity payments of individualfor electricity by physical customers of a power supplyn energy marketing company. The complex and non-stationary nature of the time series, along with it is complex and non-stationary, seasonality and trend are expressed in it, which limits indicates that it is impossible to choose using simpler forecasting methods, such as extrapolation or naive forecasting method. Therefore in this regard, various machine learning methods and neural networks were chosen to solve the problem, various machine learning methods and neural networks were chosen which can find complex dependencies in data and learn to predict them. To solve the problem, several regression models of machine learning were chosen, often used in solving time-series forecasting problems, for example, XGBoost, SVM, LSSVM, LGBM, and Gradient Boosting, as well as neural networks, such as LSTM, RNN, and CNN. The best result was obtained using a regression support vector regression machine (SVR) machine. This implementation of this model has been integrated into a web application for time-series forecasting. The article also discusses an algorithm for determining the stationarity of a series using the Dickey–Fuller test and bringing a time series to a stationary series one by differentiating the former one a time series. In addition, the article addresses discusses the problem of forecasting emissions (peaks). Most forecasting methods do not solve the problem of predicting peaks because they consider them statistical outliers. In the article, this problem is solved by separating the peaks into a separate time series and predicting them separately from the main series with further connection of the two forecasts.

Residential power scheduling based on cost-coupling constraint with distributed generation

Power scheduling is a major task for demand response (DR) to cope with the electricity consumption during the peak period in smart grid. In the residential sector, consumers trend to trigger their electrical appliances when the electric price is low. However, power scheduling including load curtailment, time delay and equipment power adjustment will change consumer’s comfort level to produce discomfort cost. Thus, electricity payment and discomfort cost are coupled to constraint the DR. In this paper, we focus on renewable energy use by smart homes and consider cost-coupling constraints, taking an approach whereby we decouple the primary problem into several independent subproblems. A novel DR algorithm based on cost-coupling constraint with distributed generation is developed to reduce consumers’ expenditure while improving their comfort. To that end, a day-ahead bidding price mechanism including real-time charging management is introduced, and a cost efficiency algorithm is designed based on electricity payments, discomfort and distributed generation. Simulation results demonstrate that the proposed method is effective and feasible when tested in real application scenarios.

ГІБРИДНА ФОТОЕЛЕКТРИЧНА СИСТЕМА З АКУМУЛЯТОРНОЮ БАТАРЕЮ ДЛЯ ЛОКАЛЬНОГО ОБ’ЄКТУ З ЗАВДАННЯМ ПОТУЖНОСТІ, ЩО СПОЖИВАЄТЬСЯ З МЕРЕЖІ

The issues of increasing the efficiency of a hybrid photovoltaic system with a storage battery used to meet the own needs of a local object are considered. This is achieved in the case of a setting according to the forecast of power consumption from the grid, which ensures the formation of the necessary graph of the degree of charge of the battery. A technique for determining the parameters is substantiated when achieving the maximum reduction in the cost of electricity consumed from the grid for the accepted load schedule for the average monthly generation of a photovoltaic battery in summer. Implementation scenarios are proposed in accordance with the accepted billing of payment for electricity. The possibility of leveling the graph of power consumed from the network and reducing consumption during peak hours is shown. The invariance of control is confirmed under the conditions of load changes over time within a certain energy value at intervals in the daytime and in the evening. The possibilities of implementing the proposed control scenarios are confirmed by modeling energy processes in the daily cycle. At the same time, archival data on the generation of a photovoltaic battery from open web resources were used. The solutions obtained are the basis for the design of software control complexes for photovoltaic systems with batteries with improved energy efficiency.

Implementasi Akad Wakalah Bil Ujrah pada Pembayaran Rekening Listrik

This individual payment actually makes it easier for people to make electricity bill payment transactions without going out of the house, especially for people who do not travel for certain reasons. The author's background in this study is the public unrest where the author examines the payment of electricity bills through individuals with different ujrah. The formulation of the problem that then arises is how to implement electricity bill payments through individuals in Dukuh Panggilan when reviewed with DSN MUI Fatwa No. 113/DSN-MUI/IX/2017 concerning Wakalah Bill Ujrah. The purpose of the study is to identify the payment of electricity bills in terms of the Fatwa of DSN MUI No. 113/DSN-MUI/IX/2017 concerning Wakalah Bill Ujrah. The research method used is a qualitative method that takes the type of field research, data collection techniques are carried out using observations and interviews. Observations were made as non-participant observers. The results of this study are individuals as representatives in paying electricity bills in Dukuh Panggilan have an important role because of the convenience of residents in paying, especially for society. The existence of ujrah/fees that are not the same from person to person or month to month, also there is no transparency of the amount of ujrah which creates uncertainty, resulting in incompatibility with DSN MUI Fatwa No. 113/DSN-MUI/IX/2017 concerning Wakalah Bill Ujrah. So it is necessary to agree on the amount of ujrah by both parties in order to reach an agreement, so that the contract can be carried out properly.

Data Mining Pengelompokan Pembayaran Listrik Menggunakan Metode Clustering


 Electricity is a basic need that greatly influences all community and government activities. Almost all people from the upper to the lower classes, both in the fields of education, government, economics and social, really need a source of electrical energy as a means of supporting activities and productivity. PLN (Persero) is a State-Owned Enterprise (BUMN) that provides services to the community in the provision of electricity. The K-Means algorithm is one of the clustering technique algorithms that starts with random selection, which is the number of clusters that you want to form from the data to be clustered, namely electricity payments. the system made from k-means displays the results of the clustering of electricity payments, namely the pattern of electricity payments whose clusters are up, fixed and down. By utilizing a number of data owned by the agency, it can be grouped using data mining technology. The use of data mining techniques in classifying electricity payments is expected to be useful to simplify the process of searching for system data, which previously was still manual
 Keywords: Data Mining, K-Means, Electricity

LOSISH—LOad Scheduling In Smart Homes based on demand response: Application to smart grids

The evolution towards Smart Grids (SGs) represents an important opportunity for modernization of the energy industry. It is characterized by a bidirectional flow of information and energy between consumers and suppliers. However, the rapid increase of energy demands in residential areas is becoming a challenging problem. In order to address this issue, Demand-Side Management (DSM) has proven to be an effective solution. In this paper, we propose LOSISH, a price-based Demand Response (DR) system for load scheduling in residential Smart Homes (SHs) that achieves a trade-off between electricity payments and consumer’s discomfort. Our proposed system considers Renewable Energy Sources (RESs), Battery Energy Storage System (BESS) and Plug-in Electric Vehicle (PEV). We formulate our scheduling as a constrained optimization problem and we propose a new hybrid algorithm to solve it. The latter combines two well known heuristic algorithms: Particle Swarm Optimization (PSO) and Binary Particle Swarm Optimization (BPSO). Moreover, we propose a new clustering algorithm based on Machine Learning (ML) to extract consumer’s preferences from a real dataset that contains the historical consumption patterns of his smart appliances. We test our approach on real data traces obtained from a SH and we set up an experiment to evaluate our algorithm on a Raspberry Pi and measure its energy consumption. To prove the effectiveness of our approach, we compare our results with another approach from the literature in terms of electricity bill, Peak-to-Average Ratio (PAR), energy consumption, and execution time. Numerical results show that LOSISH outperforms the other approach in terms of electricity bill (up to 52.92% cheaper), PAR (up to 44% decrease in peak demands), energy consumption (up to 69.44% less consumption), and execution time (up to 63.15% faster).

Penerapan Data Mining Pada Penjualan Produk Digital Konter Leppangeng Cell Menggunakan Metode K-Means Clustering

The Leppangeng Cell counter is a counter that sells digital products in the form of Credit, Data Packages, PLN Electricity Tokens, Electricity Payments, BPJS Payments, PDAM Payments. Spidy or Indihome Payments, Home Phone Payments, Postpaid Payments, Game Voucher Sales, Cable TV Payments, Credit Installment Payments, Train Ticket Payments, PGN/Gas Payments, Shope Payments and Cash Transfer Services and Top Up. However, from the counter sales, of course, not all of them sell well, there are also products that don't sell. Sales data, purchases and unexpected expenses at the Leppangeng Cell Counter are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using K-Means at the Leppangeng Cell Counter. The K-Means method can be applied to the Leppangeng Cell Counter to determine sales of digital products that are selling well and not selling well. The application of the K-Means method at the Leppangeng Cell Counter is by grouping digital product stock data. Then select 3 random grub as initial centroid. After the data for each group does not change, the results of data processing are obtained in the form of 114 products that sell, 5 underperforming, and 14 not sold. Then, the application of the K-Means method to Rapidminer is carried out by entering the initial product stock, the sold stock and the final stock to be changed and form K-Means. After that, Rapidminer will produce which products have high and low demand

STUDI MANAJEMEN ENERGI LISTRIK DAN ANALISIS PELUANG PENGHEMATAN KONSUMSI ENERGI LISTRIK PADA GEDUNG PENGADILAN NEGERI DENPASAR

The intensity of electrical energy consumption at the Denpasar District Court in 2020 is 133.84 kWh/m2/year. Based on the Minister of Energy and Mineral Resources Regulation No. 13 of 2010 on an air-conditioned building, the building is included in the wasteful category. So the Denpasar District Court office must make efforts to save money by conducting energy audits on lamps, coolers (AC), and other equipment. The purpose of this research is to analyze electrical energy opportunities and provide recommendations for savings that can be made. The method used in this research is descriptive quantitative by calculating the IKE of the building. The results of this study obtained the total energy needed in existing conditions (before the LED lamp and AC inverter were replaced) with the assumption that the lamp and air conditioner operated for 8 working hours per day and 24 days per month, the total energy was 140,101,344 kWh/year. Meanwhile, the total energy consumed after replacing the LED lamps and AC inverter is 124,328,448 kWh/year. So that there is a saving of 15,772,896 kWh of electrical energy for one year with a saving of electrical energy costs of Rp. 22,787,102.85 / year. IKE before replacing the LED lamps and AC Inverter is 41.462 kWh / m2 per year in the wasteful category according to the Ministerial Regulation ESDM No. 13 of 2012. Meanwhile, after replacing the LED lamps and AC inverter, the IKE obtained is 36,794 kWh/m2 per year in the wasteful category, but there are savings in electricity consumption and electricity payment costs.

Rooftop PV Plant Development Planning at the Central Java Provincial DPRD Secretariat Office

Central Java Province targets the achievement of the new and renewable energy (EBT) portion in the energy mix by 2030 at 22.55%. In order to achieve this target, the Central Java Provincial Government has consistently developed the use of EBT, one of which is through the construction of rooftop solar power plants (Rooftop PV Plant) in government buildings. In addition to requiring a fairly high initial investment cost, the construction of a Rooftop PV plant connected to the PT. PLN (Persero) requires a fairly complicated process, so proper planning must obtain optimal results. This paper will discuss an example of a Rooftop PV Plant development plan at the Secretariat Office of the Central Java Provincial DPRD, including the use of electrical energy prior to the installation of a Rooftop PV Plant; an analysis of the condition and availability of the location; the design and system of a Rooftop PV Plant; an estimate of the total potential energy that can generate; the investment costs of a Rooftop PV Plant; as well as evaluating the results of using Rooftop PV Plant. The electricity bill at the Central Java Provincial DPRD Secretariat Office prior to installing Rooftop PV Plant is Rp. 91.308.323,- per month. The recommended PV design, built on an area of ​​197 m2, is a rooftop on-grid PV Plant system with 6 PV arrays, each of which PV arrays are installed with as many as 20 solar modules arranged in series. The total number of solar modules installed is 120 solar modules with a total capacity equivalent to 30 kWp. Based on the simulation results using the PVSyst 6.4.3 software, the Rooftop PV Plant system can generate electrical energy of up to 43,420kWh per year or equivalent to 118.9kWh per day with a performance ratio of 79.4%. The potential for saving electricity costs from the simulation results can reach Rp. 4,034,441.- per month. The results of the evaluation of the utilization of the Rooftop PV Plant through the recording of the inverter monitoring system within 1 (one) year after installation shows the amount of electrical energy produced is 40,558 kWh, so that the manager of the Secretariat of the DPRD Central Java Province office can save a budget of Rp. 3,768,514.- per month from the use of the Rooftop PV Plant. This figure is not much different from the simulation results at planning. There is a difference in the cost savings of electricity payments at the Central Java Provincial DPRD Secretariat Office during 2020 of Rp. 4,493,300,- excluding savings due to the use of Rooftop PV Plant due to implementing the work from home (WFH) system during the COVID-19 pandemic, which resulted in a significant reduction in the use of electrical energy.