{"id":"W2245031077","doi":"10.1109/epec.2015.7379973","title":"A basic load following control strategy in a direct load control program","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Intermittency; Control (management); Wind power; Controller (irrigation); Load balancing (electrical power); Computer science; Load profile; Grid; Reliability (semiconductor); Load following power plant; Control system; Load management; Automotive engineering; Reliability engineering; Renewable energy; Engineering; Base load power plant; Distributed generation; Electricity; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005558862,0.0002383567,0.0003501519,0.0001008125,0.00001726562,0.00008388596,0.0001829757,0.00007881073,0.00004343961],"category_scores_gemma":[0.00007143704,0.0002233255,0.0001092696,0.0002899971,0.00001521947,0.0001940096,0.00002263147,0.000141096,0.0001386947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654267,"about_ca_system_score_gemma":0.00009062223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004771566,"about_ca_topic_score_gemma":0.001233786,"domain_scores_codex":[0.9984736,0.00004737361,0.0003020355,0.0002500924,0.0004187389,0.0005081398],"domain_scores_gemma":[0.9994043,0.0000556284,0.00001982104,0.0002989013,0.00005133935,0.0001700146],"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":[0.00005338355,0.0001326988,0.0052899,0.00003127506,0.0002963831,0.0002251246,0.0001294302,0.9668137,0.0002006335,0.0004912199,0.009895199,0.01644108],"study_design_scores_gemma":[0.01321946,0.000271185,0.005597089,0.00005797177,0.00009892899,0.000004977187,0.0002473771,0.9086365,0.0002229297,0.0001594245,0.07081325,0.0006708929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2688466,0.001725472,0.0152029,0.0002767347,0.00171259,0.001968828,0.000006292346,0.00343054,0.70683],"genre_scores_gemma":[0.998198,0.000005602609,0.000298296,0.0001399647,0.0001283091,0.0003846591,0.000002451286,0.00004652484,0.0007961387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7293514,"threshold_uncertainty_score":0.910695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304560545762374,"score_gpt":0.2259313974802323,"score_spread":0.2128857920226086,"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."}}