{"id":"W4396234128","doi":"10.2316/j.2024.203-0456","title":"AN ALTERNATIVE OPTIMISATION MODEL FOR RESERVE CAPACITY OF POWER SYSTEM CONSIDERING COORDINATIVE AGGREGATION OF LARGE-SCALE RENEWABLE ENERGY, 1-6.","year":2024,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangdong Power Grid Company","keywords":"Mathematical optimization; Electric power system; Electricity generation; Computer science; Alternation (linguistics); Piecewise; Renewable energy; Piecewise linear function; Power (physics); Control theory (sociology); Engineering; Mathematics; Electrical engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961115,0.001174379,0.001198292,0.0006024618,0.0005772127,0.002118977,0.001692536,0.002770446,0.01170858],"category_scores_gemma":[0.001933641,0.0006580009,0.001025357,0.001044073,0.0007176402,0.001437807,0.000919187,0.001864546,0.001045271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453723,"about_ca_system_score_gemma":0.001590691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191592,"about_ca_topic_score_gemma":0.01031283,"domain_scores_codex":[0.9996727,0.000137442,0.00001039624,0.0000497677,0.0000650075,0.0000647132],"domain_scores_gemma":[0.9994493,0.0003509051,0.00006293607,0.00001545581,0.00008011423,0.00004140336],"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":[0.00002156924,0.000008496022,0.00006422998,0.00003964316,0.00001293459,0.00003722867,0.00001242939,0.9905356,0.0001552859,0.006940276,0.0006952515,0.00147715],"study_design_scores_gemma":[0.000007573894,0.00000889159,0.00004412645,0.000005206787,0.000004659537,0.000005714808,0.00000484124,0.9968045,0.00003122253,0.00257741,0.0005031295,0.000002757614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02688381,0.001979523,0.9121512,0.001730509,0.000330655,0.0001928079,0.001208741,0.0003670276,0.05515575],"genre_scores_gemma":[0.8944318,0.001200395,0.06858902,0.0002748934,0.0001692819,0.0004605959,0.0007634652,0.0002029958,0.03390761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01191592,"threshold_uncertainty_score":0.03916913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989735698089306,"score_gpt":0.2675058968984145,"score_spread":0.2476085399175215,"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."}}