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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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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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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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’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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Numerical studies of the efficiency of binary geothermal power plants at the studied thermal fields of Russia by Stanislav A. Yankovsky, Alexandr S. Zavorin, Natalia S. Yankovsky, Svyatoslav A. Tsibulskiy

“…Comprehensive analysis of the operating characteristics of a binary geothermal power plants in various climatic operating conditions. …”
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Police/Militia in (Post-)Soviet Popular Culture (Towards a Historical Iconography of Power) by D. V. Popov

“…The idea of the police as a "good order” from the Polizeiwissenschaft of absolutism was developed in the biopolitical model of caring for the population of the Modern era, engaged in ensuring safety and well-being. …”
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Evaluation of dominant factors for stability of grid‐connected inverters based on impedance sensitivity analysis by Lei Fang, Longji Feng, Chengbo Chu, Jun Xu, Rong Wu, Qingchuan Fan

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Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Abstract The inherent randomness and intermittent nature of wind speed fluctuations pose significant challenges in accurately predicting future wind speeds. …”
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Forecasting power generation of wind turbine with real-time data using machine learning algorithms by Asiye Bilgili, Kerem Gül

“…The escalating concern over the adverse effects of greenhouse gas emissions on the Earth's climate has intensified the need for sustainable and renewable energy sources. …”
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Performance Evaluation of Antlion Optimizer Based Regulator in Automatic Generation Control of Interconnected Power System by Esha Gupta, Akash Saxena

“…This paper presents an application of the recently introduced Antlion Optimizer (ALO) to find the parameters of primary governor loop of thermal generators for successful Automatic Generation Control (AGC) of two-area interconnected power system. …”
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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

“…This paper addresses the rising demand for accurate short-term wind power forecasting, which is critical for minimizing the impacts on grid operations and reducing associated costs. …”
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De l’aurore à la nuit : le parcours du roi-soleil maya by Claude-François Baudez

“…The solar metaphor was used to legitimate the absolute power of the Maya kingship as well as to justify the necessity of dynastic continuity, while demonstrating the special relationship that existed between the king, the earth and his land.…”
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Gray-Related Support Vector Machine Optimization Strategy and Its Implementation in Forecasting Photovoltaic Output Power by Bo Xiao, Hai Zhu, Sujun Zhang, Zi OuYang, Tandong Wang, Saeed Sarvazizi

“…Reliable and accurate photovoltaic (PV) output power projection is critical for power grid security, stability, and economic operation. …”
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Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes by Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski

“…<b>Purpose:</b> To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (MedAE) and the percentage of eyes with a prediction error (PE) within ±0.5 D. …”
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In, Out, and Beyond: Dislocation, Contamination and the Redemptive Power of Womanhood in California, In-doors and Out by Eliza W. Farnham, 1856 by Claire Sorin

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