{"id":"W2165572240","doi":"10.1109/ccece.2008.4564715","title":"Bidding wind power in short-term electricity market based on multiple-objective fuzzy optimization","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bidding; Term (time); Electricity market; Wind power; Fuzzy logic; Electricity; Computer science; Mathematical optimization; Microeconomics; Mathematics; Economics; Engineering; Electrical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001396731,0.0004102278,0.0003611413,0.001055558,0.0001424884,0.000173777,0.0002596933,0.0002015277,0.0000673736],"category_scores_gemma":[0.00008809821,0.0004287007,0.00004727664,0.0008267822,0.00003953949,0.0002179962,0.00002673326,0.000668912,0.00000566767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222773,"about_ca_system_score_gemma":0.0003836135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004636234,"about_ca_topic_score_gemma":0.0004119166,"domain_scores_codex":[0.9978462,0.00001212716,0.0003023022,0.0005190523,0.0003255987,0.0009946941],"domain_scores_gemma":[0.9989141,0.0001169199,0.00001785962,0.000111591,0.000171265,0.0006682153],"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":[0.0002147051,0.0001731339,0.07557613,0.000174436,0.0001204958,0.0003391757,0.001182271,0.8873787,0.00160959,0.005516711,0.001450722,0.02626393],"study_design_scores_gemma":[0.0004165903,0.0002478594,0.08158707,0.0001463814,0.000003114673,0.00002286848,0.00000823235,0.9164795,0.0005013697,0.00002268702,0.00009385534,0.0004704536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126403,0.00008769919,0.0655058,0.0002058594,0.0002652675,0.0006555931,0.00001485877,0.0004854489,0.02013917],"genre_scores_gemma":[0.9980221,0.0001192974,0.001529076,0.0001202767,0.0000759134,0.00004834941,0.0000112705,0.00004347528,0.00003025661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08538178,"threshold_uncertainty_score":0.9998165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130629466241081,"score_gpt":0.188299657157339,"score_spread":0.1752367105332309,"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."}}