{"id":"W4411489131","doi":"10.3390/en18133245","title":"A Review of Optimization Strategies for Energy Management in Microgrids","year":2025,"lang":"en","type":"review","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Environmental economics; Renewable energy; Fossil fuel; Electrification; Energy management; Greenhouse gas; Risk analysis (engineering); Climate change; Computer science; Environmental resource management; Electricity; Business; Engineering; Environmental science; Energy (signal processing); Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008015422,0.001620456,0.001462985,0.002000879,0.0003134159,0.001295364,0.001082088,0.001114006,0.005039847],"category_scores_gemma":[0.00179177,0.0005618864,0.001168735,0.004541281,0.0004613111,0.001527252,0.0006158075,0.001204809,0.00175226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006950221,"about_ca_system_score_gemma":0.001478188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236416,"about_ca_topic_score_gemma":0.002716315,"domain_scores_codex":[0.9995769,0.00009640238,0.00007309335,0.00008074386,0.0001460746,0.00002680433],"domain_scores_gemma":[0.9990207,0.0006269093,0.0000961205,0.00003774363,0.0001946721,0.00002387272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000656587,0.0001083693,0.0003025554,0.04234799,0.0002731866,0.0001637972,0.0001093462,0.01220209,0.00133977,0.0263848,0.02594003,0.8907624],"study_design_scores_gemma":[0.00001945173,0.0001974623,0.001228257,0.01403282,0.0004086211,0.0006623917,0.0001371135,0.004675818,0.0009857402,0.01560212,0.9619839,0.00006618424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003132043,0.9911845,0.004763173,0.0003275773,0.0002655161,0.00001426,0.00005091554,0.00002419098,0.003056563],"genre_scores_gemma":[0.003290354,0.9919683,0.003373401,0.0001569022,0.0002579542,0.0000207903,0.00007989089,0.00001144973,0.0008408338],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005039847,"threshold_uncertainty_score":0.01685995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493227847637698,"score_gpt":0.2765301845938017,"score_spread":0.2615979061174248,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}