Solar Cell Parameters Research Articles

Design and optimization of the performance of PbS quantum dot based vertical photodetector

Abstract Quantum dots (QDS) are widely used as photoactive materials for various optoelectronic applications, such as light-emitting diodes, photodetectors, lasers, and solar cells, because of their unique and outstanding physical properties for fabricating devices via solution-processing techniques and for varying the sizes of QD to modulate the band gap. In this study, we constructed a numerical model of a vertical photodetector using lead sulfide (PbS) quantum dot layer undergoing ligand exchange treatment with tetrabutylammonium iodide (TBAI) as the light absorption layer to obtain an optimized high-performance photodetector using 1D-Solar Cell Capacitance Simulator (SCAPS) software. For the hole transport layer (HTL) and electron transport layer (ETL), a PbS quantum dot layer that employs an ethanedithiol (EDT) ligand exchange scheme and a zinc oxide (ZnO) layer were utilized, respectively, with gold (Au) and indium tin oxide (ITO) as the bottom and upper electrodes, respectively. After optimizing the thickness and doping concentration of the absorption layer, we obtained a maximum responsivity of 0.4675 A W−1 and detectivity of 2.44 * 10 13 Jones at a reverse bias of 0.5 volts after optimizing of thickness and doping concentration of absorption layer showing an improvement of 19% and 87.7% respectively compared to the initial structure whose parameters originated from studies of PbS quantum dot solar cells with the same structure and materials, although optimization of other transport layers do not provide as great performance enhancement as absorption layer. This study demonstrates that the structural parameters of solar cells are not always applicable to photodetectors, and that photodetectors have great potential for numerical optimization. Ethical Compliance: All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Modeling and enhancement of double perovskite solar cell using WO3 as electron transporting material and SrCu2O2 as hole transporting material

There is a growing necessity to develop renewable energy with cost-effective materials. In this work, a double perovskite-based solar cell design has been proposed. The proposed design is numerically simulated, and investigation of solar cell parameters has been carried out using SCAPS-1D simulation software. (FA)2BiCuI6 is an organic–inorganic double perovskite material employed as an absorber layer. SrCu2O2 is used as hole transporting material and WO3 is used as electron transporting material in proposed device model FTO/WO3/(FA)2BiCuI6/SrCu2O2/W. SrCu2O2 absorbs lower light due to its wide bandgap and provides better hole transport capability which reduces the recombination. WO3 has tunable bandgap and absorb light in visible spectrum and offer good conductivity and thus this combination improve the power conversion efficiency. The analysis and optimization of the various parameters of absorber layer such as thickness, shallow acceptor density, and operating temperature are done. At 500 nm absorber thickness for shallow acceptor density of 1.0 × 1018 cm−3 and 300 K operating temperature, the optimized results have been observed. The photo-voltaic parameters: open circuit voltage 1.04 V, short circuit current density 25.97 mA/cm2, fill factor 88.23 % and power conversion efficiency of the device 23.64 % are observed. The proposed configuration is a promising candidate for efficient, low-cost double perovskites-based solar cells.

Regulating Crystallinity Mismatch Between Donor and Acceptor to Improve Exciton/Charge Transport in Efficient Organic Solar Cells.

Achieving a more balanced charge transport by morphological control is crucial in reducing bimolecular and trap-assisted recombination and enhancing the critical parameters for efficient organic solar cells (OSCs). Hence, a facile strategy is proposed to reduce the crystallinity difference between donor and acceptor by incorporating a novel multifunctional liquid crystal small molecule (LCSM) BDTPF4-C6 into the binary blend. BDTPF4-C6 is the first LCSM based on a tetrafluorobenzene unit and features a low liquid crystal phase transition temperature and strong self-assembly ability, conducive to regulating the active layer morphology. When BDTPF4-C6 is introduced as a guest molecule into the PM6 : Y6 binary, it exhibits better compatibility with the donor PM6 and primarily resides within the PM6 phase because of the similarity-intermiscibility principle. Moreover, systematic studies revealed that BDTPF4-C6 could be used as a seeding agent for PM6 to enhance its crystallinity, thereby forming a more balanced and favourable charge transport with suppressed charge recombination. Intriguingly, dual Förster resonance energy transfer was observed between the guest molecule and the host donor and acceptor, resulting in an improved current density. This study demonstrates a facile approach to balance the charge mobilities and offers new insights into boosting the efficiency of single-junction OSCs beyond 20 %.

Regulating Crystallinity Mismatch Between Donor and Acceptor to Improve Exciton/Charge Transport in Efficient Organic Solar Cells

AbstractAchieving a more balanced charge transport by morphological control is crucial in reducing bimolecular and trap‐assisted recombination and enhancing the critical parameters for efficient organic solar cells (OSCs). Hence, a facile strategy is proposed to reduce the crystallinity difference between donor and acceptor by incorporating a novel multifunctional liquid crystal small molecule (LCSM) BDTPF4‐C6 into the binary blend. BDTPF4‐C6 is the first LCSM based on a tetrafluorobenzene unit and features a low liquid crystal phase transition temperature and strong self‐assembly ability, conducive to regulating the active layer morphology. When BDTPF4‐C6 is introduced as a guest molecule into the PM6 : Y6 binary, it exhibits better compatibility with the donor PM6 and primarily resides within the PM6 phase because of the similarity‐intermiscibility principle. Moreover, systematic studies revealed that BDTPF4‐C6 could be used as a seeding agent for PM6 to enhance its crystallinity, thereby forming a more balanced and favourable charge transport with suppressed charge recombination. Intriguingly, dual Förster resonance energy transfer was observed between the guest molecule and the host donor and acceptor, resulting in an improved current density. This study demonstrates a facile approach to balance the charge mobilities and offers new insights into boosting the efficiency of single‐junction OSCs beyond 20 %.

Utilizing the lignocellulosic fibers from Pineapple Crown Leaves extract for enhancing TiO2 interfacial bonding in dye-sensitized solar cell photoanodes

AbstractThe crown leaves of pineapple possess a wealth of smooth and glossy silk medium-length fibers, primarily composed of cellulose and lignin, accompanied by constituents such as fats, waxes, pectin, uronic acid, anhydride, pentosan, color pigments, and inorganic substances. These fibers exhibit an anisotropic nature and are characterized by hydrogen bonding interactions, rendering them effective in conjunction with semiconductor oxide (TiO2) through their cellulosic fibrils. The dye extracted from Pineapple Crown Leaves (PCL) using ethanol was subjected to FTIR and UV–visible spectroscopy. The FTIR analysis revealed absorption peaks at 3268 cm−1 and 2922 cm−1, confirming the presence of –OH and –CH stretching attributed to the fibrils within the dye. UV–visible spectroscopy further demonstrated absorption within the visible region of the electromagnetic spectrum. Additionally, a photoluminescence study of the dye showcased emission within the visible range of the electromagnetic spectrum. Subsequently, a solar cell incorporating this dye underwent JV characterization, yielding an efficiency of 1.0034%, along with fill factor, open-circuit voltage, and short-circuit current density values of 0.40644, 0.7058 V, and 3.4906 mA/cm2, respectively. To gain deeper insights and facilitate optimization for large-scale installations, a simulation model utilizing PC1D was proposed to explore the influential parameters of the Dye-sensitized solar cell (DSSC).

Archimedes optimization algorithm based parameter extraction of photovoltaic models on a decent basis for novel accurate RMSE calculation

Solar photovoltaic (PV) technology stands as a promising alternative to conventional fossil fuel-based power generation, offering pollution-free and low-maintenance energy production. To harness its potential effectively, understanding the power generation process and accurately modeling solar PV systems are essential. Unfortunately, manufacturers often do not provide the necessary parameters for modeling solar cells, making it challenging for researchers. This research employs the Archimedes Optimization Algorithm (AOA), an optimization technique, to determine unknown parameters for the PVM752 GaAs thin film solar cell and the RTC France solar cell. The modeling of these solar cells utilizes both a Single Diode Model (SDM) and a Double Diode Model (DDM). Performance evaluations are conducted using the sum of individual absolute errors (SIAE) and a novel root mean square error (RMSE) method. Comparing the effectiveness of the AOA with other optimization methods, The RMSEs for the AOA applied to the SDM and DDM of RTC France solar cell were 3.7415 × 10–3 and 1.0033 × 10–3. Similarly, for PVM752 GaAs thin film solar cell were 1.6564 × 10–3, and 0.00106365, respectively. The SIAE values for both solar diode models of RTC France cells were 0.071845 and 0.021268, respectively. For the PVM752 GaAs thin film, the corresponding SIAE values were 0.031488 and 0.040224. The results highlight the efficiency of the AOA-based approach, showcasing consistent convergence and a high level of accuracy in obtained solutions. The suggested approach produces superior results with a lower RMSE compared to other algorithms, demonstrating its efficacy in determining solar PV parameters for modeling purposes.

New design and optimization of half-tandem quantum dot solar cell: Over 30% power conversion efficiency using nanostructure oriented core-shell

We achieve 30.64% power conversion efficiency (PCE) by comprehensive design and optimization of half-tandem quantum dot (QD) solar cell using nanostructure-oriented core-shell to improve open circuit voltage (Voc) in QD solar cell (QDSC) for first time. In this study, we have used coupling of optical and electrical equations to calculate solar cell parameters. The aim of this study was to optimize the reference structure including PbS quantum dots (PbS-QDs) treated with tetrabutylammonium iodide (PbS-TBAI), Magnesium Zinc Oxide (MgZnO) and PbS ethanedithiol (PbS-EDT) for active layer (AL), electron transport layer (ETL) and hole transport layer (HTL) respectively. At first, the structure was enhanced into half-tandem solar cell by adding Molybdenum Ditelluride (MoTe2) as the second absorber layer to cover the infrared region. Furthermore, the structure was optimized in four steps: (i) adding a Spiro-OMeTAD layer to reduce the series resistance (Rs) and prevent electrons from entering aluminum metal contact, (ii) adding a core-shell (CFTS – SnS) nanostructure, (iii) optimizing ETL, and (iv) investigating the effect of core-shell nanostructure angle. As a final result, the values of short circuit current (Jsc), Voc, PCE, fill factor (FF) and series resistance were obtained 25.25 mA/cm2, 1.49 V, 30.64 %, 0.78 and 2.8 Ω/cm2, respectively.

Structural and optical properties of phosphorous doped nanocrystalline silicon deposited using a VHF PECVD process for silicon heterojunction solar cells and optimization of a simple p-n junction cell using SCAP-1D tool.

Initially hydrogenated silicon (Si:H) thin films have been deposited using a plasma-enhanced chemical vapor deposition technique (PECVD) using silane (SiH4) as a precursor gas diluted in an inert gas argon (Ar) environment. Subsequently phosphine gas (PH3) was used as the n-type dopant and the deposition was carried out at a fixed substrate temperature of 200 °C. The PH3 flow rate was varied in the range of 0-1 sccm. The effect of PH3 flow rates on optical, electrical, and structural properties of hydrogenated amorphous and micro/nanocrystalline silicon films has been investigated and detailed analysis is presented. These films may find application in heterojunction solar cells as an emitter layer. Further, a crystalline silicon (c-Si) based simple p-n junction solar cell is simulated using an SCAP-1D tool to observe the effect of layer thickness and doping density on solar cell parameters.

Enhancing Photovoltaic Cell Parameters Extraction through Grey Wolf Optimizer

Efficient and precise parameter extraction from solar Photovoltaic (PV) models is paramount for the comprehensive simulation, assessment, and management of PV systems. Despite the proliferation of analytical, numerical, and metaheuristic algorithms aimed at this task in recent years, the extraction of parameters remains a formidable obstacle. This study employs the Grey Wolf Optimizer (GWO) to extract the five key parameters of the RTC France solar cell. The GWO’s performance is systematically compared with metaheuristic algorithms such as Enhanced Chaotic JAYA (CJAYA) and Performance-Guided JAYA (PGJAYA). The study showcases the prowess of GWO in optimizing PV parameters, marking a significant stride forward in the realm of optimization techniques for PV cell modeling. Through meticulous analysis using MATLAB-SIMULINK, the research unveils the profound effectiveness of GWO in navigating the intricate landscape of parameter extraction within PV systems.

Fullerene-C60 and PCBM as interlayers in regular and inverted lead-free PSCs using CH3NH3SnI3: an analysis of device performance and defect density dependence by SCAPS-1D.

One of the challenges hindering the commercialization of perovskite solar cells (PSCs) is the presence of toxic metals such as lead in their composition. Simulation studies using SCAPS-1D have already been conducted on lead-free PSCs to find optimized solar cell parameters, having tin as the primary candidate for replacing lead in perovskites. Here, we used fullerene-C60 and its derivative PCBM as interlayers in a lead-free tin-based PSC between the ETL (ZnO) and the perovskite MASI in both regular and inverted configurations of PSCs using SCAPS-1D software. To the best of our knowledge, this is the first simulation study reporting the impact of using fullerene-C60 and PCBM as interlayers in lead-free PSCs. The defect density (Nt) of the perovskite material is varied, allowing us to observe its influence on the power conversion efficiency (PCE). Using an Nt value of 1017 cm-3 without the interlayer, the PCE was 6.90% and 3.72% for regular and inverted devices. Using PCBM as an interlayer improves the efficiency of both simulated PSCs, achieving a maximum PCE of 8.11% and 5.26% for the regular and inverted configurations, respectively. Decreasing the Nt from 1017 cm-3 to 1016 cm-3 caused a significant increase in efficiency, reaching 13.38% (n-i-p) and 10.00% (p-i-n). Finally, using the optimized parameters and an ideal Nt value (1013 cm-3), both PSCs achieved a PCE close to 30%.

Extraction of the Multijunction Solar Cell Parameters Using Two Metaheuristic Algorithms

Extraction of the Multijunction Solar Cell Parameters Using Two Metaheuristic Algorithms

Numerical analysis of the thin film solar cell modelled based on In doped CdS semiconductor

In this study, pure and 1%, 2% and %3 In-doped CdS thin films were produced by spray pyrolysis method. CdS is an n-type (II-VI group) semiconductor material and used as a buffer layer in solar cells. By doping In into CdS thin film, it was investigated how optical and crystalline behavior of thin film are changed. Using Moss and Herve&Vandamme and Ravindra relations, refractive indices and dielectric coefficients were investigated depending on the band gap of the obtained CdS sample. It has been observed that In element decreases the band gap of CdS thin film, improved its crystal structure and reduced its roughness. Therefore, 3% In doped CdS has gained a more ideal feature for use as an n-type semiconductor in solar cells. CIGS/In doped CdS solar cell was modelled and analysed by SCAPS-1D simulation program by using the physical parameters of the semiconductor layers that make up solar cells as imputs of program. Photovoltaic parameters of solar cell based on donor defect density, the neutral interface defect density and Auger electron/hole capture coefficient which were calculated by using In %3 doped CdS thin film, which has the most ideal n-type semiconductor properties.

Chaos inspired invasive weed optimization algorithm for parameter estimation of solar PV models

High performance solar photovoltaic models require precise knowledge of solar PV cell parameters. Numerous methods based on both deterministic and meta-heuristics have been developed for identifying solar cell parameters. However, the presented methods in the literature have a heavy computational load and limited ability to extract crucial parameters due to nonlinear dynamics of solar PV systems. In addition, because they rely on approximations to determine the objective function, the preceding state-of-the-art parameter estimation techniques do not provide accurate results. Thus, a novel chaos-inspired invasive weed optimization (CIIWO) has been developed for accurate solar PV system parameter estimation. Adding a chaotic map to IWO improves the performance of suggested method by expanding the search space globally. Moreover, to cope with the inadequacy in state-of-art objective functions, Newton Raphson approach has been combined with proposed CIIWO algorithm. The suggested approach for solar cell parametric identification has been tested on one-diode, two-diode, and three-diode models. By contrasting the outcomes with nine contemporary optimization strategies for parameter estimation, the superiority of the suggested algorithm has been demonstrated. Commercial PV cell RTC France has been used for the experimental validation. Comprehensive study of experimental data validates the efficacy and stability of the suggested algorithm.

SIMULATION STUDIES OF CR DOPED CUO HETEROJUNCTION SOLAR CELL

1% and 3% Cr doped CuO thin films have been deposited on soda lime glass by spin coating method and then their structural, morphological and optical properties have been investigated by operating X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM) and Ultraviolet-Visible Spectroscopy (UV-Vis) techniques, respectively. XRD patterns of CuO:Cr (1%) and CuO:Cr (3%) thin films demonstrate characteristics of monoclinic CuO structure with a C2/c space group. The morphology of coated film plays an important role in analyzing some optoelectronic properties. 1% Cr doped CuO thin film absorbs more photons compared to 3% Cr doped CuO in Vis and UV regions. The band gaps of 1% Cr and 3% Cr doped CuO thin films are to be 2.18 eV and 2.30 eV, respectively. The Mo/1% and 3% Cr doped CuO/n-ZnO/i-ZnO/AZO solar cell has modelled with SCAPS-1D simulation program. The photovoltaic (PV) parameters of solar cell deteriorated with some increase in the neutral defect density (N_t) value. As the shallow acceptor defect density (N_a) value is increased, J_SC is decreased, V_OC, FF and η are increased. PV performance of 1% Cr doped CuO solar cell were found to be better than that of 3% Cr doped CuO solar cell. The efficiency of 1% Cr doped CuO solar cell is increased with the use of SnO2 intermediate layer in 2 nm thickness at the heterojunction interface.

Effect of Gallium Content on Diode Characteristics and Solar Cell Parameters of Cu(In1-xGax)(Se0.98Te0.02)2 Thin Film Solar Cells Produced by Three-stage Co-evaporation at Low Temperature

In this study, Cu(In1-xGax)(Se0.98Te0.02)2 thin film solar cells with x values of 0.17, 0.20, 0.23, and 0.26 were successfully produced by three-stage co-evaporation technique at low temperatures. The diode characteristics and solar cell parameters of thin film chalcopyrite solar cells with the structure of SLG/Mo/Cu(In1-xGax)(Se0.98Te0.02)2/CdS/ZnO/ITO/Ni-Al-Ni were investigated by current-voltage measurements. The ideality factor, series resistance, and barrier height were obtained by the Cheung-Cheung method using the current-voltage results measured in the dark at room temperature. Open-circuit voltage, short-circuit current density, fill factor, and the power conversion efficiency of the thin film solar cells were derived from the current-voltage measurements realized by a four-point measurement setup under AM1.5G standards at room temperature. It was found that the increase in the gallium content first decreased the ideality factor, however, it increased again after exceeding the x value of 0.23. While the amount of gallium was increasing, fluctuations were observed in the series resistance values. The barrier height first increased with the increasing amount of gallium and decreased after exceeding the x value of 0.23. The solar cell parameters increased by increasing the x value up to 0.23 and decreased after exceeding this point. It was found that the diode parameters have an effect on each other but the most effective diode parameter was the ideality factor. The efficiency of the Cu(In1-xGax)(Se0.98Te0.02)2 thin film solar cells was increased from 3.7% to 6.3% by increasing the x value from 0.17 to 0.23.

Impact of the magnetic field on solar cell parameters: A study using the conventional classical approach

Impact of the magnetic field on solar cell parameters: A study using the conventional classical approach

Impedance Spectroscopy with Microscopic Reference Electrodes as a Technique to Study Electrode Kinetics in Dye-Sensitized Solar Cells

Measurements with microscopic reference electrodes in electrochemical impedance spectroscopy (µRE-EIS) were used to study electrode kinetics of dye-sensitized solar cells (DSSCs). A detailed impedance analysis of DSSCs is essential to separately optimize different rate-determining steps in these cells. Two-electrode measurements as typically used, however, often do not allow a separate analysis of charge transfer reactions at different electrodes that occur with similar time constants. Such problems, e.g., arise in DSSCs with water-based electrolytes using 2,2,6,6-tretramethylpiperidine-1-oxyl (TEMPO) as a redox mediator. The use of a quasi-reference electrode offers the possibility to separately record impedance spectra of the photoanode and the counter electrode of a DSSC under operating conditions in one experiment. With this method, electron transfer kinetics could be studied for both electrodes individually and contributions of charge carrier recombination at the photoanode could be studied separately from the reduction of the redox mediator at the counter electrode.In DSSCs, the sensitized photoanode and the counter electrode are commonly separated by no more than 60 µm, depending on the thickness of the sealing foil. Into such an arrangement, a thin platinum wire was introduced as a third electrode, serving as a microscopic quasi-reference electrode (µRE). The architecture was adjusted stepwise and the influence of the adjustments was studied to ensure that important cell properties such as solar cell parameters and diffusion resistance remained comparable to cells in a typical two-electrode architecture.Subsequently, three-electrode experiments were carried out, using the photoanode as the working electrode (WE), a counter electrode (CE), and the µRE. For µRE-EIS experiments, the potential was modulated between CE and WE and the overall cell impedance Z 0 was determined. Simultaneously, the impedance between µRE and WE was recorded (Z 1) and the impedance between µRE and CE (Z 2) was calculated from Z 0 and Z 1. Thus, one experiment yielded spectra for the full cell and both respective half-cells WE vs. µRE and CE vs. µRE.Here, we investigated DSSCs based on TiO2 photoanodes sensitized with the organic dye Y123, aqueous electrolytes with the organic redox mediators TEMPO+/0 or OH-TEMPO+/0, and poly(3,4-ethylenedioxythiphene) (PEDOT) counter electrodes. The impedance spectra revealed that there are contributions in the same frequency range in both half-cell spectra, suggesting that both charge transfer processes from the electrodes to the oxidized redox species, i.e., recombination at the photoanode and the reduction of the redox mediators at the counter electrode, respectively, occur on similar time scales. These contributions superimpose in a typical two-electrode measurement and cannot be separated. µRE-EIS, however, proved to be a powerful tool to simultaneously study the interactions of novel redox mediators with photoanodes and counter electrode materials in detail. Figure 1

Enhancement in Efficiency of Methyl Ammonium Tin Iodide-Based Perovskite Solar Cell Using SCAPS-1D

Perovskite solar cells came to limelight owing to their simple fabrication processes, cost-effectiveness, better optoelectronic characteristics and outstanding power conversion efficiencies (PCEs). These solar cells have simply outpaced their rival cells since the alteration from aqueous hole transport layers (HTLs) to solid HTLs. Various layers of a perovskite cell viz. light absorber layer, electron transport layer (ETL) and HTL play a decisive role in ascertaining its performance. Today, various types of organic and inorganic HTLs are available but inorganic HTLs have gained an upper hand over their organic counterparts in terms of stability, cost, fabrication and material properties which represent them as a prospective candidate for optimum perovskite device. Copper antimony sulfide (CuSbS[Formula: see text] is a common HTL available in abundance with the benefit of an adequate bandwidth of 1.54[Formula: see text]eV. In addition, CuSbS2 possesses substantial band aligning and electron inhibiting features. This research paper elaborates a relative study of two perovskite solar devices possessing discrete inorganic hole transport layers, i.e., cuprous iodide (CuI) and copper antimony sulfide (CuSbS[Formula: see text], and discrete perovskite layers, i.e., MAPbI[Formula: see text]Cl[Formula: see text] and MASnI3, using the same negative charge transport layer, i.e., Cd[Formula: see text]Zn[Formula: see text]S, through numerical simulation employing SCAPS-1D. The effects of thickness, defect density and doping concentration with respect to absorbing layer on the efficiency and other parameters of perovskite layers are also discussed. By employing CuSbS2 with MASnI3 in the proposed device, the solar cell parameters are efficacious enough demonstrating the [Formula: see text] of 1.10[Formula: see text]V, PCE of 31.11%, fill factor (FF) of 83.05% and [Formula: see text] of 33.75[Formula: see text]mA[Formula: see text]⋅[Formula: see text]cm[Formula: see text].

A deep learning-based transformer model for photovoltaic fault forecasting and classification

According to the US-based National Renewable Energy Lab (NREL), solar energy losses due to faults were 3.5 % in 2004, which increased to 17.5 % in 2018. Therefore, the fault prediction mechanism will enable PV practitioners to reduce losses effectively, enhancing the solar system's efficiency and power output. This paper proposes a deep learning-based Transformer model for robust fault prediction in photovoltaic. Transformer uses attention mechanism that considers data points as a language units “word” and learn dependencies among them to predict upcoming data points. Unlike other forecasting algorithms, our proposed approach does not rely on previous trends. In case of PV faults, trends do not exist. The proposed algorithm utilizes rate of change of solar cell parameters for establishing a trend to forecast faults, enabling proactive fault mitigation. It also classifies faults with different severity levels to identify the level of predictive maintenance required. The proposed approach is extensively evaluated using MATLAB on datasets of several faults with low, medium, and high severity levels. The proposed Transformer model achieves a forecasting mean average error (MAE) of 0.09377. Performance of the proposed forecasting and classification algorithm is compared with existing machine learning-based regression and classification techniques such as KNN, SVM, and NN, where proposed approach outperforms state-of-the-art approaches.

Preparation and Performance of ZnO and ZnO/MnO<sub>2</sub> Nanostructures as Anode Electrodes in DSSCs

Nanoparticles and nanocomposites prepared by the hydrothermal method (ZnO, ZnO/MnO2) were used to build dye-sensitized solar cells (DSSCs), which were used as photoelectrodes using two natural dyes as the absorbent media: red (Hibiscus sabdariffa) and green (Apium graveolens). The results showed the efficiency of the green dye in DSSCs is superior to the red dye in terms of conversion efficiency (η). The purpose of the study is to improve the performance of dye solar cells. The properties of nanomaterials were studied by X-ray diffraction (XRD), scanning electron microscopy (FE-SEM), and transmission electron microscopy (TEM) for the analysis of ZnO NPs and ZnO/MnO2, whereas the sizes of the prepared materials are within the size of 1–100 nm. The solar cell parameters were obtained from simple (I-V) measurements for nanomaterials prepared using two-dye DSSCs where Isc represents the short circuit current through the solar cell when the voltage across the solar cell is zero, and Voc represents the open circuit voltage across the solar cell and is the maximum voltage available from the solar cell. The photoelectrochemical properties of the two dye DSSCs in this study were calculated at 22.53 mW/cm2 of the light intensity.