Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques by Alfredo Nespoli, Emanuele Ogliari, Sonia Leva, Alessandro Massi Pavan, Adel Mellit, Vanni Lughi, Alberto Dolara

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Short-Term Load Forecasting of the Greek Electricity System by George Stamatellos, Tassos Stamatelos

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Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting by Stylianos Loizidis, Georgios Konstantinidis, Spyros Theocharides, Andreas Kyprianou, George E. Georghiou

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Time-Section Fusion Pattern Classification Based Day-Ahead Solar Irradiance Ensemble Forecasting Model Using Mutual Iterative Optimization by Fei Wang, Zhao Zhen, Chun Liu, Zengqiang Mi, Miadreza Shafie-khah, João P. S. Catalão

Subjects: “…day-ahead forecasting…”
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Stochastic Assessment of Day-Ahead, Wind Energy Curtailment-Driven Demand Response Requirements in Non-Interconnected Island Systems by Dimitrios Zafirakis, Konstantinos Christopoulos, Konstantinos Moustris, John K. Kaldellis

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Ensemble Learning-Based Day-Ahead Power Forecasting of Distributed Photovoltaic Generation by Yijuan LIU, Yunlong CHEN, Jiyan LIU, Xuemei ZHANG, Xiaoyu WU, Weizheng KONG

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Comparative Analysis of Machine Learning Models for Day-Ahead Photovoltaic Power Production Forecasting by Spyros Theocharides, Marios Theristis, George Makrides, Marios Kynigos, Chrysovalantis Spanias, George E. Georghiou

Subjects: “…day-ahead forecasting…”
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A Platform Independent Web-Application for Short-Term Electric Power Load Forecasting on a 33/11 kV Substation Using Regression Model by Venkataramana Veeramsetty, Gudelli Sushma Vaishnavi, Modem Sai Pavan Kumar, Prabhu Kiran, Nagula Sumanth, Potharaboina Prasanna, Surender Reddy Salkuti

Subjects: “…day ahead forecasting…”
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Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm by Happy Aprillia, Hong-Tzer Yang, Chao-Ming Huang

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Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data by Leo Semmelmann, Sarah Henni, Christof Weinhardt

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Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems by Konstantinos Moustris, Dimitrios Zafirakis

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Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain by Stephen Haben, Julien Caudron, Jake Verma

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Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations by Daisuke Kodaira, Kazuki Tsukazaki, Taiki Kure, Junji Kondoh

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Similarity-Based Models for Day-Ahead Solar PV Generation Forecasting by Hossein Sangrody, Ning Zhou, Ziang Zhang

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Wind Speed Multi-Mode Ensemble Forecasting for Wind Farms Based on Machine Learning by Sheng GAO, Peihua XU, Zhenghong CHEN

Subjects: “…wind power day-ahead forecasting…”
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Computational Intelligence in Photovoltaic Systems by Sonia Leva, Emanuele Ogliari

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A Short-Term Calgorithm Based on Improved LSTM Neural Network by Sheng GAO, Peihua XU, Zhenghong CHEN, Chi CHENG

Subjects: “…wind power day-ahead forecasting…”
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ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant by Francesco Grimaccia, Sonia Leva, Marco Mussetta, Emanuele Ogliari

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Day-Ahead Forecast of Photovoltaic Power Based on a Novel Stacking Ensemble Method by Luyao Liu, Qie Sun, Ronald Wennersten, Zhigang Chen

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User behaviour models to forecast electricity consumption of residential customers based on smart metering data by Florencia Lazzari, Gerard Mor, Jordi Cipriano, Eloi Gabaldon, Benedetto Grillone, Daniel Chemisana, Francesc Solsona

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