March 13, 2019 preprint Open access Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach arXiv (Cornell University) DOI: 10.48550/arxiv.1903.05274 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 7 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 Principal component density estimation for scenario generation using normalizing flows 2022 Data-Centric Engineering article Engineering Energy Load and Power Forecasting Open access 14 citations Validation Methods for Energy Time Series Scenarios From Deep Generative Models 2022 IEEE Access article Engineering Energy Load and Power Forecasting Open access 19 citations 2 results References 0