Consumption Patterns Research Articles

Cooperative price-based demand response program for multiple aggregators based on multi-agent reinforcement learning and shapley-value

Demand response (DR) plays an essential role in power system management. To facilitate the implementation of these techniques, many aggregators have appeared in response as new mediating entities in the electricity market. These actors exploit the technologies to engage customers in DR programs, offering grid services like load scheduling. However, the growing number of aggregators has become a new challenge, making it difficult for utilities to manage the load scheduling problem. This paper presents a multi-agent reinforcement Learning (MARL) approach to a price-based DR program for multiple aggregators. A dynamic pricing scheme based on discounts is proposed to encourage residential customers to change their consumption patterns. This strategy is based on a cooperative framework for a set of DR Aggregators (DRAs). The DRAs take advantage of a reward offered by a Distribution System Operator (DSO) for performing a peak-shaving over the total system aggregated demand. Furthermore, a Shapley-Value-based reward sharing mechanism is implemented to fairly determine the individual contribution and calculate the individual reward for each DRA. Simulation results verify the merits of the proposed model for a multi-aggregator system, improving DRAs’ pricing strategies considering the overall objectives of the system. Consumption peaks were managed by reducing the Peak-to-Average Ratio (PAR) by 15%, and the MARL mechanism’s performance was improved in terms of reward function maximization and convergence time, the latter being reduced by 29%.

Political factors and efficiency in the responsible production of municipal solid waste services: A dynamic DEA with a network structure approach

The production of municipal solid waste (MSW) is driven by socioeconomic development and population growth. In this context, public policymakers, mainly in developing countries, are increasingly focused on ensuring sustainable production and consumption patterns through sustainable management and efficient use of resources. Because of this, we seek to contribute to the effectiveness of public policies and the role of managers in achieving the global Sustainable Development Goals 3, 6, 11, and 12. This study examines the relevance of political and contextual factors on the dynamic efficiency of the network structure of municipal solid waste services in Brazil. We used Dynamic Data Envelopment Analysis with Structure Network to calculate the overall efficiency and specific efficiency of the two proposed divisions: operational and economic. We then analyzed the effects of years in political cycles (pre-election, election year, post-election) and contextual factors (ideology, GDP, density, transfers, political size, and geography) on MSW efficiency using Generalized Estimating Equation. The dataset included longitudinal panel data from 218 MSW from 2012 to 2022. Our results showed an average efficiency score of 57.5 %, with only six MSW positioned on the efficiency frontier. Evidence of stagnation in the sector's productivity was also revealed, undermining the goals and objectives of public policies. The results suggest that the years within political cycles significantly impact sector operator efficiency before, during, and after the electoral period. Specifically, lower levels of efficiency are observed during election years, suggesting potential opportunistic behavior throughout most periods of the electoral cycle. The main contribution of this work lies in its analysis of the different periods of a political cycle, and role of capital and ideological politics in intertemporal efficiency across two divisional networks.

What factors influence consumer attitudes towards alternative proteins?

Achieving the sustainability of protein is central to creating a sustainable food system. Current meat consumption patterns require a paradigm shift, as the status quo is unsustainable. However, at present, consumer participation in this shift is limited necessitating a change in consumer behaviour. This review seeks to understand consumer willingness to consume alternative proteins (cultured meat, edible insects, plant and fermentation-based proteins) and the factors influencing their decisions, considering variations across protein categories and cultural backgrounds. Understanding these factors is vital for designing interventions that effectively enhance acceptance levels. Consumer behaviour is complex, influenced by a spectrum of personal and societal factors, which must be interpreted within the specific context of the target society or demographic segment.

Analysis of food supplements and sports foods consumption patterns among a sample of gym-goers in Portugal.

Gym-goers usually seek methods to improve performance, muscle gain, and overall health. One of the main strategies is including food supplements (FS) into their routine as aids to enhance their athletic capabilities and satisfy their nutritional needs. Thus, this study aimed to investigate and characterize the main FS and Sports Foods (SF) currently consumed, as well as the main reasons for their use and the source of advice in a group of gym-goers in the Lisbon Metropolitan Area (Portugal). A cross-sectional study was conducted, including 303 gym-goers from Lisbon, Portugal, who were 133 women and 170 males (30.8 ± 12.9 years old). Face-to-face interviews were used by qualified researchers to gather data. Most of the interviewed athletes (71.95 %) took FS/SF, being men the main consumers. On average, 1.59 supplements were consumed per athlete. Logistic regression models indicated significant associations between age, gender, and motivations for gym attendance. While men and younger groups attended mainly for hypertrophy, women and older groups were focused on well-being. Protein (59.17 %) was the most used FS/SF, followed by creatine (41.28 %) and multivitamins (27.06 %). Men and younger individuals preferred protein and creatine, while older individuals focused more on specific vitamins and minerals. Women seemed to prefer L-carnitine and protein yogurts. Main sources of information included the internet, friends, and dietitians with notable gender and age-based preferences. Online stores were the main place of purchase. Monthly expenditures on FS/SF were not significantly affected by age or gender, but motivations for use had an influence. Most of the athletes interviewed took FS/SF, being men the major consumers. Protein was the principal FS/SF used, with online stores being the main place of purchase and the internet the primary source of information. Age and gender were key factors in adopted training, in the FS/SF chosen, and in the source of information selected. It is crucial that health professionals take primary responsibility for providing this guidance.

The impact of tea consumption on the risk of depression: A Mendelian randomization and Bayesian weighting algorithm study.

The precise impact of tea consumption on the risk of depression remains unclear. This study aimed to explore the relationship between the consumption patterns of tea and the likelihood of depression onset, utilizing a two-sample Mendelian randomization (MR) methodology. We utilized available genome-wide association study (GWAS) datasets on tea intake and depressive disorders. To investigate the causal relationship between tea consumption and depression, we employed a set of two-sample Mendelian Randomization (MR) methods. These included the inverse-variance weighted (IVW) analysis, weighted median approach, and MR-Egger regression. Additionally, we utilized MR-PRESSO and the MR-Egger intercept test for the detection of pleiotropic effects. To ensure the robustness and consistency of our findings, a sensitivity analysis was carried out, applying the 'leave-one-out' strategy. The Bayesian weighted Mendelian randomization (BWMR) was employed to conduct additional testing on the obtained results. The study's outcomes revealed a causal association between increased tea intake and an increased risk of depression (Inverse-Variance Weighted Analysis: Odds Ratio [OR] = 1.029, 95% Confidence Interval [CI]: 1.003-1.055, p = 0.027). This was observed despite variations in instrumental variables and the nonexistence of horizontal pleiotropy. Furthermore, the robustness of our Mendelian Randomization investigation was affirmed through the implementation of the 'leave-one-out' method in our sensitivity analysis. The findings from BWMR were in line with those obtained from IVW (BWMR: OR=1.030, 95% CI: 1.003-1.057, p = 0.029). The results from this study indicate a substantial and positive causal link between the regularity of tea drinking and the risk of depression onset.

VA-Creator—A Virtual Appliance Creator based on adaptive Neural Networks to generate synthetic power consumption patterns

With the advent of the Smart Home domain and the increasingly widespread application of Machine Learning (ML), obtaining power consumption data is becoming more and more important. Collecting real-world energy data using sensors is time consuming, expensive, error-prone and in some situations not possible. Therefore, we present the VA-Creator, a framework to create Virtual Appliances (VAs). These VAs synthesize power consumption patterns (PCPs) based on Neural Networks (NNs) which adapt their architecture to the training data structure to simplify the creation of new VAs. To be able to generate all appliance types available in a typical household we use various kinds of NN, including Multilayer Perceptrons (MLPs), Long Short-Term Memorys (LSTMs) and a specific Generative Adversarial Network (GAN) as well as different ML techniques such as XGBoost, selecting the appropriate technique depending on each appliance’s characteristics. We then compare the results of the ML models against real data and evaluate them by using Dynamic time Warping (DTW) as well as the classification performance of an MLP descriminator as metrics. Additionally, to ensure that the VAs allow to meaningfully train ML models, we use them to generate synthetic data and then train Non intrusive Load Monitoring (NILM) models in an extensive evaluation. The presented evaluation provides evidence that the VA models produce realistic and meaningful results.

Analysis of Qatar's electricity landscape: Insights from load profiling, clustering, and policy recommendations

Demand side management (DSM) is an important strategy for promoting sustainable consumption in resource-rich countries with high purchasing power and subsidized tariffs. Global energy and environmental resource consumption have increased rapidly due to advances in production and transportation, leading to inefficient and wasteful use of resources. DSM aims to address these issues by promoting efficiency. To implement appropriate DSM strategies, a greater understanding of consumer behavior is needed. To do so, load profiling and load clustering are two popular methods that can be used. This paper aims to i) summarize the most recent global load profiling and clustering works ii) use official smart meter data to understand key electricity consumption trends in Qatar, such as temperature-demand correlation, weekend vs. weekday, and public holiday consumption patterns, and iii) perform load clustering to propose policies that would help manage the electricity load in Qatar for its green growth. This study provides insights into the electricity consumption trends of various sectors in Qatar, including commercial, government, hospitality, and residential sectors. It was found that among all the sectors there were only two usage periods of the same time. There is naturally a strong correlation between temperature and electricity consumption throughout the sectors. Furthermore, it was observed that the consumption of the sectors is highly similar which leads to multiple sectors being present in the same cluster. Finally, policy changes are proposed based on the results to encourage demand response programs in Qatar.

Empowering industry through energy auditing: a case study of savings and sustainability

Conducting energy audits is pivotal in assessing industrial plant efficiency and formulating effective energy management plans. It identifies opportunities for efficient energy use, reducing costs and environmental impact. This study employs a techno-economic approach to analyze electricity cost reduction in an industrial facility. Through energy auditing, it explores economic benefits and improved energy quality, yielding favorable outcomes. Focused on a plastic derivative manufacturing plant, the study reveals critical audit findings. The main aim is to identify avenues for electric energy savings, cutting production costs, and enhancing product competitiveness. The audit involves a detailed analysis of consumption patterns, signal quality, and potential energy management strategies, culminating in a cost-cutting plan. The results of an economic assessment of the suggested energy-saving strategies, provide a comprehensive evaluation of their financial implications. It reveals significant cost reduction opportunities, estimating annual energy savings of $45,824.56, which represents a 23.68% decrease in expenses. These initiatives not only boost the plant's financial performance but also strengthen its competitive edge.

Global trends in antibiotic consumption during 2016–2023 and future projections through 2030

Antibiotic resistance is a global public health threat. Many factors contribute to this issue, with human antibiotic consumption being significant among them. Analyzing trends and patterns in consumption can aid in developing policies to mitigate the burden of antimicrobial resistance and global disparities in access to antibiotics. Using pharmaceutical sales data licensed from IQVIA, we estimate national-level trends in antibiotic consumption in 67 countries during 2016–2023 and analyze the effects of economic growth and the COVID-19 pandemic. Finally, we estimate global human consumption and project growth through 2030 assuming current trends. We find that estimated antibiotic consumption in reported countries increased 16.3% from 29.5 to 34.3 billion defined daily doses (DDDs) from 2016 to 2023, reflecting a 10.6% increase in the consumption rate from 13.7 to 15.2 DDDs per 1,000 inhabitants per day. Increases were most pronounced in upper-middle- and lower-middle-income countries. While the COVID-19 pandemic significantly reduced consumption globally, this was most pronounced in high-income countries, and in these countries, reductions in antibiotic use in 2020 were sharper, and lasted longer, than in other countries. By 2030, we project that, without reductions in rapidly developing nations, such as investments to improve infrastructure, particularly water and sanitation, along with improved access to vaccination, global antibiotic consumption will increase by 52.3% from an estimated 49.3 billion in 2023 to 75.1 billion DDDs.

Identifying Factors Linked to Current Patterns of Alcohol Consumption in U.S. Veterans with a History of Alcohol Use Disorder

Identifying Factors Linked to Current Patterns of Alcohol Consumption in U.S. Veterans with a History of Alcohol Use Disorder

Smart Fuel Monitoring for Agricultural Fleet Operations Using Tilt Sensors and Cloud Data Processing

This paper presents a novel Internet of Things (IoT)-based fuel monitoring and tracking system designed to address limitations of traditional fuel gauges and enhance fleet management efficiency. The system leverages an accelerometer and Arduino microcontroller to measure fuel level by detecting tilt angles within the tank. This data, along with real-time location from GPS, is transmitted to a cloud platform for processing and visualization. A mobile application, "Tracer," empowers users with insights into fuel level, location on a map, and distance traveled. Graphical fuel consumption patterns further aid in optimization strategies. This solution offers real-time data for improved fuel efficiency, proactive route planning, and overall fleet management. The proposed system is successfully implemented IOT based technology. This sys in Ada fruit IO cloud issued to provide information about vehicle location, fuel level in tank and distance travelled by the vehicle.

Sufficiency, consumption patterns and limits: a survey of French households

How can the concept of consumption corridors be operationalised? This research provides socio-demographic knowledge of the setting of the upper limit. Four distinct ‘modes of consumption’ are identified, based on material consumption levels and openness to consumption limits. A survey of French households (n = 2452) reveals people are generally reluctant to accept strict consumption caps, especially binding ones. Both high and low material consumption groups strongly oppose consumption limits, suggesting that wealth does not correlate with a sense of having ‘enough’. Individuals with fewer possessions support the idea of limits to consumption, though not outright bans. Despite the cultural value placed on limitless consumption and political aversion to restrictions, actual consumption modes are inherently limited. Individuals operate within certain boundaries, whether or not acknowledged. Since perceptions of ‘enough’ are shaped by economic, social and technical contexts, urban settings and buildings could play a critical role in establishing these de facto limits. By facilitating frugal-yet-comfortable lifestyles, cities and buildings could help to restrain consumption without invoking a sense of deprivation. This approach suggests a pathway for fostering sustainable consumption corridors that feel normal rather than imposed. Practice relevance This research identifies four main modes of consumption in relation to sufficiency in mainland France. It shows that what constitutes enough is socially and economically situated and is not an external reality that would mechanically satisfy consumption needs. It also shows a general reluctance of individuals towards setting limits to individual consumption levels. To the extent that urban planning and dwelling types are already important forces in the shaping of sustainable modes of consumption, cities and buildings may prove instrumental in providing the condition of de facto upper limits to consumption. By understanding consumption modes and their relationship with sufficiency, policymakers, urban planners and architects could implement the means to conduct frugal lifestyles that do not evoke feelings of deprivation.

The nutritional composition and in-store marketing of processed and packaged snack foods available at supermarkets in South Africa.

Over recent decades, the commercial ultra-processed food industry has grown, making snacks high in energy, added sugar, saturated fat and sodium affordable and accessible to consumers. Dietary patterns high in ultra-processed snacks are concerning as this can result in negative health outcomes. This study aims to provide insight on available snack products in South African supermarkets, and the marketing thereof, which can be used to support policy development aimed at improving the healthfulness of the food supply and consumption patterns. This was an observational cross-sectional, mixed-method study. Secondary data from six major supermarket chains (eight stores) in three different suburbs in Cape Town, South Africa was analysed to evaluate the nutritional composition of snack products (n=3837). The same eight supermarkets were revisited to obtain information on marketing via an observational checklist. Qualitative interviews were also conducted with store managers. Majority (89%) of the products assessed either contained non-sugar sweeteners or were high in sugar, saturated fat, or sodium. These snack items that are high in nutrients of concern to limit were available at checkout areas in all stores, were found in high traffic areas and several in-store promotional strategies such as branded displays, special offers and combo-deals were commonly found. The current South African supermarket environment encourages consumers to purchase unhealthy snacks. Most snacks assessed in this study cannot be recommended for regular consumption due to the nutritional composition being high in nutrients linked to poor health outcomes. There is a need for regulation of the in-store marketing of unhealthy snacks in South Africa. Retail settings are potential intervention points for limiting exposure to these unhealthy products.

Antibiotic consumption patterns in older adults: a comparative study of people 65 years and older in and outside nursing homes, Belgium, 2016 to 2022.

BackgroundInappropriate antimicrobial consumption (AMC) drives the emergence of antimicrobial resistance. Institutionalised, older populations are associated with antimicrobial treatments of longer duration and broader spectrum than recommended, higher rates of multidrug-resistant infections and poorer outcomes for resistant infections. Yet systematic, national monitoring of AMC in nursing home (NH) residents is lacking.AimTo perform a retrospective analysis of antibiotic consumption in Belgian NHs, we compared analogous populations inside and outside NHs. We aimed to provide a blueprint for establishing surveillance of NH AMC, based on national reimbursement data.MethodsThe National Institute for Health and Disability Insurance supplied reimbursement AMC data for outpatients from 2016 to 2022. Data were classified by the Anatomical Therapeutic Chemical system, expressed as defined daily doses (DDD) and aggregated by prescription month, patient age, sex and residency inside/outside a NH. The number of ensured beneficiaries, aggregated by the same demographic variables, was collected from the Intermutualistic Agency. We compared the DDDs per 1,000 beneficiaries per day, along with secondary metrics for national and international targets for analogous populations inside and outside NHs.ResultsTotal antibiotic consumption decreased in both populations but remained twofold higher in NH residents. Proxy prescription quality metrics were consistently less favourable within NHs and diverged further during the COVID-19 pandemic. Distinct consumption patterns and greater seasonal fluctuations were observed in NH residents.ConclusionGiven the different infection risks and higher antibiotic consumption of NH residents, AMC surveillance and antimicrobial stewardship efforts targeting this fragile population are needed.

MECHANISMS AND MEASURES FOR THE DEVELOPMENT OF ENERGY SOURCES IN ALGERIA IN LIGHT OF SUSTAINABLE DEVELOPMENT

Objective: The aim of this study is to examine the sustainable use of energy sources in Algeria, focusing on the need to improve the efficiency of managing non-renewable resources in light of increasing global energy consumption and its environmental impacts. Given that Algeria heavily relies on non-renewable energies, the research addresses the importance of enhancing the sustainability of these sources to align with global development goals. Theoretical Framework: The theoretical framework discusses the role of energy in global economies, particularly emphasizing the environmental challenges posed by non-renewable energy sources. It explores concepts related to sustainable development, resource management, and the importance of aligning national energy policies with global sustainability standards. Methodology: The study utilizes a comprehensive review of existing literature and energy consumption data in Algeria. It assesses current resource management practices, explores policy frameworks, and identifies opportunities for improving energy efficiency and sustainability. The methodology includes both qualitative and quantitative analyses to provide a holistic understanding of the issue. Findings: The results indicate that Algeria's heavy reliance on non-renewable energy sources necessitates immediate action to improve resource management efficiency. The study highlights key areas where policy improvements can lead to more sustainable use of energy, ultimately contributing to long-term economic and environmental stability. Research, Practical & Social Implications: The study has significant implications for energy policy development in Algeria, offering insights into how the country can better manage its non-renewable energy resources. Practically, it suggests actionable strategies for improving energy efficiency and aligning with global sustainability goals. Socially, the research emphasizes the importance of addressing energy consumption patterns to reduce environmental harm and ensure sustainable development. Originality/Value: The value of the study lies in its focus on Algeria, providing context-specific insights into sustainable energy management. It highlights the urgent need for improving the efficiency of non-renewable resource use in a country that heavily depends on such sources, while offering practical recommendations for policy makers to foster sustainable development in the energy sector.

Intensifying Substance Use Trends among Youth: A Narrative Review of Recent Trends and Implications.

Substance use among adolescents and young adults remains a critical public health concern, with patterns shifting dramatically in recent years. This narrative review examines trends in substance use behaviors during and following the COVID-19 pandemic. Epidemiologic evidence shows declines in the proportion of youth who are using most substances but intensified consumption patterns with rising levels of disorder among adolescents who use substances. This picture may reflect the greater potency, availability and accessibility of substances, vulnerabilities related to poor mental health, minoritization, as well as social factors including pandemic stressors, commercial and regulatory forces - in short, features of the agent (substance), host (person), and environment (context), consistent with a public health formulation. Understanding trends in youth substance use and related problems, especially in the context of contributing factors, is critical for informing clinical care strategies and public health interventions to improve outcomes for youth across diverse populations.

A longitudinal point prevalence survey of antimicrobial use and resistance in tertiary care hospitals in Kerman: results from the national Iranian multicenter point prevalence survey of antimicrobials in 2021.

The Global Point Prevalence Survey (PPS) of antimicrobial consumption and resistance has been widely undertaken to combat the global threat of antimicrobial resistance (AMR). This study was conducted in alignment with the Global-PPS in three tertiary care hospitals in Kerman, Iran, to evaluate antimicrobial consumption patterns. The study was conducted from January 2020 to January 2021 in Afzalipour, Shafa, and Shahid Bahonar Hospitals. Data were collected using the standardized Global-PPS method at three different points throughout the year to minimize bias. Information on antimicrobial prescriptions, primary diagnosis, prophylaxis, therapy indications, and treatment type were documented. Antimicrobial prevalence was calculated using the total number of admitted patients as the denominator and those on antimicrobial regimens as the numerator. The point prevalence of antimicrobial consumption in adult wards was 65.6% in Afzalipour Hospital, 42.3% in Shafa Hospital, and 78.7% in Bahonar Hospital. Non-penicillin beta-lactams, macrolides, lincosamides, and streptogramins were the most frequently prescribed antibiotic classes. Approximately 80% of prescriptions had explicit reasons documented, and targeted antibiotic therapy rates varied between 7.7% and 44.8% across hospitals. Antimicrobial consumption in Kerman's tertiary care hospitals exceeded national and global levels, indicating an urgent need for interventions to promote rational antibiotic use. Infection control committees must implement rigorous monitoring measures to reduce antimicrobial resistance. Ongoing surveillance and targeted interventions are essential to curb the rising rates of antimicrobial resistance in the region.

Ten-year analgesic utilization patterns and economic implications in Portugal.

This study evaluated the 10-year consumption and economic patterns of classical analgesics, adjuvants and opioids in Portugal (2012-2022), and conducted a comparative analysis between Portugal, Spain and Denmark to explore the consumption patterns among these countries for 2022. Data on sales and national health service (NHS) costs were obtained from the Portuguese National Authority of Medicines and Health Products. Sales data were converted to defined daily dose (DDD) per 1000 inhabitants per day according to the Anatomical Therapeutic Chemical (ATC) classification/DDD methodology, while comparisons between Spain and Denmark were evaluated with the chi-square test, when appropriate. The findings reveal that classical analgesics use in Portugal remained stable during the period 2012-2022, with ibuprofen being the most consumed. Adjuvants, specifically gabapentinoids, experienced an 84% increase in use, primarily attributed to pregabalin. Weak opioids, led by tramadol, witnessed a 117% rise in use, while strong opioid use, led by tapentadol, increased by 618%. Portugal presented the lowest overall opioid consumption when compared to Denmark and Spain in 2022. Economic trends indicated a heightened NHS expenditure on analgesics, primarily driven by increased opioid use. Notwithstanding, there was no significant burden on relative expenditure over the 10-year period. Portugal presented a major increase in both weak and strong opioid prescriptions, aligning with the trends for Spain and Denmark. The development and approval of generic medicines and vigilant market monitoring are imperative strategies for managing the escalated costs resulting from heightened consumption, particularly concerning opioids.

Keeping the global consumption within the planetary boundaries.

The disparity in environmental impacts across different countries has been widely acknowledged1,2. However, ascertaining the specific responsibility within the complex interactions of economies and consumption groups remains a challenging endeavour3-5. Here, using an expenditure database that includes up to 201 consumption groups across 168 countries, we investigate the distribution of 6 environmental footprint indicators and assess the impact of specific consumption expenditures on planetary boundary transgressions. We show that 31-67% and 51-91% of the planetary boundary breaching responsibility could be attributed to the global top 10% and top 20% of consumers, respectively, from both developed and developing countries. By following an effective mitigation pathway, the global top 20% of consumers could adopt the consumption levels and patterns that have the lowest environmental impacts within their quintile, yielding a reduction of 25-53% in environmental pressure. In this scenario, actions focused solely on the food and services sectors would reduce environmental pressure enough to bring land-system change and biosphere integrity back within their respective planetary boundaries. Our study highlights the critical need to focus on high-expenditure consumers for effectively addressing planetary boundary transgressions.

An evaluation of online information acquisition in US news deserts.

A growing concern is that as local newspapers disappear, communities lose trusted gatekeepers and develop information voids, creating openings for misinformation to thrive. Previous work has not evaluated whether residents of news deserts have developed different information acquisition habits. We fill this gap by directly comparing information consumption and referral patterns inside and outside of news deserts in a novel dataset of engagement with online media by millions of users on the Edge browser. We find little evidence that those in news deserts consume more low-quality sites or are more likely to be referred to low-quality sites from search engines or social media. We find some evidence that those in news deserts do consume more national news than locations with local media outlets. These results contribute to our understanding of how the loss of local newspapers has impacted online information acquisition.