June 07, 2021 preprint Open access Revealing drivers and risks for power grid frequency stability with explainable AI arXiv (Cornell University) DOI: 10.1016/j.patter.2021.100365 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 74 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 Prediction of the Area Control Error Using Normalizing Flows 2025 ACM SIGEnergy Energy Informatics Review article Engineering Energy Load and Power Forecasting 0 citations Deterministic grid frequency deviations and the provision of frequency containment reserve with battery storage systems 2024 Energy Reports article Energy Power Systems and Renewable Energy Open access 9 citations Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows 2023 Applied Energy article Engineering Energy Load and Power Forecasting 56 citations Understanding electricity prices beyond the merit order principle using explainable AI 2023 Energy and AI article Engineering Energy Load and Power Forecasting Open access 49 citations 4 results 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 A machine-learning approach to predicting Africa’s electricity mix based on planned power plants and their chances of success 2021 Nature Energy article Energy Renewable energy and sustainable power systems 96 citations 1 result