{"id":"W4387099746","doi":"10.1080/15435075.2023.2262005","title":"Long-term optimal coordination of hydro-wind-thermal energy generation using stochastic dynamic programming","year":2023,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Renewable energy; Wind power; Mathematical optimization; Dynamic programming; Stochastic programming; Computer science; Term (time); Environmental science; Engineering; Mathematics; Electrical engineering","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":[0.001059211,0.0007838625,0.0009514245,0.000440012,0.0004620521,0.001325234,0.0005765634,0.0006760261,0.00182946],"category_scores_gemma":[0.001484621,0.000692127,0.0007426798,0.0005910055,0.0006134005,0.0006830993,0.0007157517,0.0009132439,0.0001332057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726372,"about_ca_system_score_gemma":0.002411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081545,"about_ca_topic_score_gemma":0.02016401,"domain_scores_codex":[0.9996019,0.0001518329,0.00001431729,0.0000824697,0.00006093183,0.00008860694],"domain_scores_gemma":[0.9993008,0.0003838251,0.0001299293,0.00001558416,0.0001099861,0.00005984581],"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":[0.00001170292,0.000006625856,0.0000871925,0.000005570305,0.000005407562,0.000009969655,0.000003102977,0.9983877,0.00008627956,0.0006957662,0.00005319186,0.0006475943],"study_design_scores_gemma":[0.000002226976,0.000005528308,0.0000307585,6.88826e-7,0.000001614447,8.137513e-7,0.000002415906,0.9995988,0.00003644548,0.0002945373,0.00002507215,0.000001039958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1903827,0.0003731266,0.796828,0.0005136483,0.00006568137,0.0001540025,0.0002572143,0.0002280301,0.01119757],"genre_scores_gemma":[0.9772906,0.0001216974,0.02005277,0.0000273943,0.0000108171,0.0001024472,0.00008603273,0.00002571979,0.002282468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02081545,"threshold_uncertainty_score":0.04138857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203766398192531,"score_gpt":0.2465405341958177,"score_spread":0.2345028702138924,"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."}}