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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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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A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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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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Wind Shear Coefficient Estimation Based on LIDAR Measurements to Improve Power Law Extrapolation Performance by Dragos Machidon, Marcel Istrate, Razvan Beniuga

“…This study aims to improve power law extrapolation accuracy by proposing a new methodology for wind shear coefficient calculation. …”
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A Short-Term Power Load Forecasting Method Using CNN-GRU with an Attention Mechanism by Qingbo Hua, Zengliang Fan, Wei Mu, Jiqiang Cui, Rongxin Xing, Huabo Liu, Junwei Gao

“…The results show that compared with other common models, the proposed model effectively reduces the mean absolute error and root mean square error (121.51 and 263.43, respectively) and accurately predicts the short-term change in regional power load.…”
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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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An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas, Arshad Ali, Faizan Rashid, Naveed Ashraf, Zohaib Mushtaq, Muhammad Zubair

“…Assessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. …”
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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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A photovoltaic power ultra short-term prediction method integrating Hungarian clustering and PSO algorithm by Ting Wang

“…In addition, the Hungarian clustering model has high stability in predicting errors, with average absolute error and average relative error lower than BP and RBF models. …”
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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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Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks by Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, Gérome C. Gauchard, Guillaume Mornieux

“…The LSTM was able to reconstruct the forces and power at the gate with an overall mean absolute error of less than 5%. …”
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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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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

“…This justifies the workability of the proposed NOEPFM and can serve as an enhanced approach for calculating wind power potential.…”
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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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Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yahya Gholami Omali, Ilhami Colak, Phatiphat Thounthong, William Holderbaum

“…Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission power limitation, and electric power systems’ ineffective exploitation by developing power systems, particularly by connecting these systems to low-load lines. …”
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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…Rapid and accurate identification of events in power grids is critical to ensuring system reliability and security. …”
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