{"id":"W4412675755","doi":"10.1016/j.atech.2025.101239","title":"A predictive control strategy for optimal operation of a chicken coop integrated microgrid","year":2025,"lang":"en","type":"article","venue":"Smart Agricultural Technology","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Canadian Institute for International Peace and Security","funders":"Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres; Fondation OCP; Université Mohammed VI Polytechnique","keywords":"Microgrid; Model predictive control; Control (management); Computer science; Control theory (sociology); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002771174,0.0006667884,0.000479231,0.0002412455,0.0004365043,0.0008165563,0.0006251992,0.0004510479,0.001557727],"category_scores_gemma":[0.0005111599,0.0002540023,0.0002342888,0.0002403986,0.0004596101,0.0004086551,0.0005471798,0.0005427659,0.0001920806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000422998,"about_ca_system_score_gemma":0.0006391287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006492955,"about_ca_topic_score_gemma":0.005817513,"domain_scores_codex":[0.9998871,0.00002155596,0.000004431776,0.00003178778,0.00003522132,0.00001999415],"domain_scores_gemma":[0.9998901,0.00003014128,0.00002433775,0.00001001483,0.00003521152,0.00001029784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009115696,0.00003813962,0.000341567,0.00007540598,0.00002715811,0.0001546852,0.00009960862,0.9569053,0.005135052,0.008769264,0.001277425,0.02708524],"study_design_scores_gemma":[0.000007910811,0.00005323098,0.0001047011,0.00000563802,0.000007605141,0.00001368025,0.00001444622,0.9975654,0.0006321113,0.0009892543,0.0006023457,0.000003794223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05773814,0.0003523035,0.9229692,0.0002912907,0.0001042707,0.0000841852,0.00005280474,0.0004104147,0.01799728],"genre_scores_gemma":[0.9828449,0.00009655994,0.014924,0.00003637465,0.00001628974,0.00004453929,0.0000219579,0.00001397527,0.002001344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006492955,"threshold_uncertainty_score":0.01291031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003143636830940804,"score_gpt":0.1934922686304242,"score_spread":0.1903486317994834,"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."}}