May 25, 2022 article Open access Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities Energy and AI DOI: 10.1016/j.egyai.2022.100169 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 528 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 federated Artificial Intelligence testing and experimentation facility for the European energy sector 2025 Engineering Applications of Artificial Intelligence article Engineering Smart Grid and Power Systems Open access 14 citations Revealing drivers of green technology adoption through explainable Artificial Intelligence 2025 Advances in Applied Energy article Engineering Electric Vehicles and Infrastructure Open access 2 citations Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions 2024 Information Fusion article Computer Science Explainable Artificial Intelligence (XAI) Open access 563 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