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Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications
Multiobjective home energy management systems in nearly-zero energy buildings under uncertainties considering vehicle-to-home: A novel lexicographic-based stochastic-information gap decision theory approach
Enhancing short-term wind power forecasting accuracy for reliable and safe integration into power systems: A gray relational analysis and optimized support vector regression machine approach
Probabilistic wind speed modeling and hub-height optimization for small horizontal-axis wind turbine sizing in northern Morocco: a multi-distribution statistical framework
Wind Power Forecasting for Independent System Operators: Modeling Approaches, Practical Applications, and Operational Challenges in the Brazilian Context
Forecasting Wind and Solar Energy Production in the Greek Power System using ANN Models
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