Accurate Maximum Power Tracking in Photovoltaic Systems Affected by Partial Shading by Pierluigi Guerriero, Fabio Di Napoli, Vincenzo d’Alessandro, Santolo Daliento

“…Experiments evidenced that, in comparison with a standard perturb and observe algorithm, we achieve faster convergence in normal operating conditions (when the solar field is uniformly illuminated) and we accurately locate the absolute maximum power point in partial shading conditions, thus avoiding the convergence on local maxima.…”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…Abstract In this article, a new two-parameter distribution is constructed using the inverse transformation technique on the power XLindley distribution. It is called the inverse power XLindley distribution. …”
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Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

“…Wind Power Forecasting (WPF) has gained considerable focus as a crucial aspect of the successful integration and operation of wind power. …”
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Novel nonlinear wind power prediction based on improved iterative algorithm by Fu Zhen-yu, Lin Gui-quan, Tian Wei-da, Pan Zhi-hao, Zhang Wei-cong

“…The research results showed that the average absolute error of wind power prediction and the root mean square error were 4.5841% and 0.2301%, respectively. …”
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A power extraction approach with load state modification for energy disaggregation by Yusen Zhang, Feng Gao, Kangjia Zhou, Shuquan Wang, Hanzhi Wang

“…In this study, we propose a power extraction approach with load state modification to capture accurate load operating power with minimal influence from usage scenarios. …”
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Accuracy of Intraocular Lens Power Calculation Formulas for Highly Myopic Eyes by Yichi Zhang, Xiao Ying Liang, Shu Liu, Jacky W. Y. Lee, Srinivasan Bhaskar, Dennis S. C. Lam

“…To evaluate and compare the accuracy of different intraocular lens (IOL) power calculation formulas for eyes with an axial length (AL) greater than 26.00 mm. …”
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Design and performance analysis of portable solar powered cooler for vaccine storage by Vicent Marwa, Thomas Kivevele, Baraka Kichonge, Juma Selemani

“…In response to this challenge, the present study introduces a novel design of a portable, locally‐made solar‐powered cooler optimized for longer storage periods. …”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…Therefore, the performance of the Attention-LSTM-VAE model is better than the general deep learning load models, which has important reference for the research of power load models. Comparisons with other deep learning methods, the experimental results show that the Attention-LSTM-VAE model has the lowest mean absolute error of 0.0374 and the highest R-squared value of 0.9714. …”
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Medium-term load forecasting with Power Market Survey: GEPCO case study by Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, Syed Afraz Hussain Shah, Anzar Mahmood

“… This research presents a comprehensive case study on medium-term load forecasting (MTLF) in the intricate dynamics of Pakistan’s power sector, Gujranwala Electric Power Company (GEPCO). …”
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Optimization of power system load forecasting and scheduling based on artificial neural networks by Jiangbo Jing, Hongyu Di, Ting Wang, Ning Jiang, Zhaoyang Xiang

“…In terms of error metrics, the RBiLSTM-AM model reduces the root mean square error to 123.70 kW, mean absolute error to 104.44 kW, and mean absolute percentage error (MAPE) to 5.62%, all of which are lower than those of other models. …”
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Sensitivity Analysis of Power Regulation Parameters for Doubly-Fed Pumped Storage Units by SUN Maoxiang, WANG Liying, WANG Dakai, FAN Honggang, ZHANG Jiajie, WANG Zeyang

“…This paper aims to investigate the impact of power regulation controller parameters on the system's control performance of doubly-fed pumped storage units.Based on the power regulation control strategy,the paper employs an orthogonal experimental design to analyze the sensitivity of power regulation controller parameters.Four parameters in the power regulation controller (each parameter selected at 4 different levels) are subjected to orthogonal design.Integral of time-weighted absolute error (ITAE) is chosen as the optimization objective.Stable operating conditions are identified through range analysis.The sensitivity of parameters is quantified by range analysis to distinguish the major and minor parameters affecting the control performance of the system.The computational results demonstrate that a smaller ITAE value indicates higher dynamic response quality of the system,smaller errors,and faster convergence speed.The proportional coefficient of the current regulation module significantly influences the control performance of the system.However,the integral coefficient of the power regulation module,the integral coefficient of the current regulation module,and the proportional coefficient of the current regulation module have a relatively minor effect.The sensitivity analysis of power regulation controller parameters provides a theoretical foundation for the reliable operation of doubly-fed pumped storage units in the power system.…”
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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…Validation is performed using actual data from a PV power plant in Australia and a PV power station in Kashgar, China demonstrates. …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Wind speed data at 10 m hub height over three years (2021–2023) from Ben Guerir, Morocco, were analyzed using statistical metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Bias Error (MBE), Coefficient of Determination (R2), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). …”
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Power calculation of novel single-piece aspheric diffractive trifocal intraocular lens by K.B. Pershin, N.F. Pashinova, M.M. Konovalova, A.Yu. Tsygankov, M.E. Konovalov

“…</i> </p> <p> <i><b>Keywords</b>: cataract, phacoemulsification, trifocal IOL, IOL power calculation, constant optimization, Barrett Universal II, Olsen.…”
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Data-driven modeling of the aggregator-based price-maker virtual power plant (VPP) in the day-ahead wholesale electricity markets; evidence from the Japan Electric power Exchange (... by Mohamed Saad Suliman, Hooman Farzaneh

“…The developed model is then applied to the Japan Electric Power Exchange (JEPX) Market, collecting the set of strategic supply resources of the Kyushu region. …”
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VARIATION OF HARMONICS EMISSION FROM MODERN LAMPS IN A POWER SUPPLY NETWORK by RÓBERT ISTÓK

“…In the lighting field the LED lighting emission diode is the absolutely winner. The low power consumption and the characteristics of LED made it ideally for most of indoor and outdoor applications. …”
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Coherence vortices by binary pinholes by Gautam Akanksha, Agarwal Amit K., Singh Rakesh Kumar

“…In this paper, we introduce a novel technique to generate the coherence vortices of different topological charges by incoherent source transmittance with exotic structured binary pinholes. …”
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Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition by Yangfan Zhang, Xuejiao Fu, Yaohan Wang, Zhengyu Wang, Xiaoxiao Wang

“…This paper proposes a short-term wind and photovoltaic power forecasting framework considering time-frequency decomposition based on bidirectional long short-term memory networks. …”
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Deformation Prediction of Foundation Pit Based on Exponential Power Product Model of Improved Algorithm by Chuankui Jing, Hao Wang, Hongsong Li

“…In order to improve the prediction accuracy of foundation pit deformation, an improved optimization algorithm of supply and demand-exponential power product foundation pit deformation prediction model (ISDO-EPP model) is proposed. …”
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Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

“…The method&#x2019;s effectiveness is validated using load datasets from Singapore and Australia. The model in this paper outperforms the comparison model with root mean square error (RMSE), mean absolute percentage error (MAPE),and R-squared (R2) for the two datasets respectively. …”
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