September 13, 2018 article Open access Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets IEEE Transactions on Power Systems DOI: 10.1109/tpwrs.2018.2870041 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 222 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 ProLoaF: Probabilistic load forecasting for power systems 2023 SoftwareX software-paper Engineering Energy Load and Power Forecasting Open access 2 citations Advances in Time Series Forecasting Development for Power Systems’ Operation with MLOps 2022 Forecasting article Engineering Energy Load and Power Forecasting Open access 12 citations 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 3 results References 0