{"id":"W4416818525","doi":"10.1016/j.egyai.2025.100653","title":"Deep reinforcement learning for joint dispatch of battery storage and gas turbines in renewable-powered microgrids","year":2025,"lang":"en","type":"article","venue":"Energy and AI","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada); McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs","keywords":"Microgrid; Codebase; Reinforcement learning; Renewable energy; Setpoint; Economic dispatch; Joint (building); Nuclear decommissioning; Energy (signal processing)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Deep reinforcement learning for microgrid dispatch; engineering."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"It develops and evaluates an energy-management algorithm, while code sharing is incidental to the scientific object."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Engineering application of deep reinforcement learning to microgrid energy dispatch."}}}