September 12, 2025 article Open access Can machine learning enhance day-ahead renewable power forecasts? A study on data-driven methods for solar photovoltaic and wind turbines Energy DOI: 10.1016/j.energy.2025.138396 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 15 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Economic implications of forecasting electricity generation from variable renewable energy sources 2020 Renewable Energy article Engineering Energy Load and Power Forecasting 32 citations 1 result