June 16, 2019 article Open access Machine Learning Techniques for Predicting the Energy Consumption/Production and Its Uncertainties Driven by Meteorological Observations and Forecasts Sustainability DOI: 10.3390/su11123328 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 48 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 Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) conference-paper Engineering Energy Load and Power Forecasting Open access 9 citations 1 result References 0