{"id":"W2338863226","doi":"10.1109/tsg.2015.2472523","title":"Residential Demand Side Management Under High Penetration of Rooftop Photovoltaic Units","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Photovoltaic system; Mathematical optimization; Voltage; Computer science; Automotive engineering; Scheduling (production processes); Peaking power plant; Energy consumption; Electrical engineering; Distributed generation; Engineering; Renewable energy; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002224208,0.0002449158,0.0002263948,0.000375691,0.00008046899,0.00003862443,0.0001931361,0.00009382545,0.00009516717],"category_scores_gemma":[0.000002415906,0.0002699961,0.00007437683,0.000592231,0.00004399774,0.0002374281,0.00000339286,0.0001763362,0.0001154919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908182,"about_ca_system_score_gemma":0.00002730369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618552,"about_ca_topic_score_gemma":0.0006597727,"domain_scores_codex":[0.9985245,0.00005303387,0.0003973304,0.0002646345,0.0004668569,0.000293653],"domain_scores_gemma":[0.9992139,0.00003915873,0.00004871172,0.0004496356,0.0001046366,0.0001439473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005156426,0.00006996661,0.00002602557,0.00006911407,0.0002291403,0.00001335134,0.00008530766,0.9889628,0.002755499,0.0002715819,0.006397094,0.001068578],"study_design_scores_gemma":[0.00610298,0.0006107909,0.01304394,0.0002732936,0.000888558,0.00003068869,0.0009773022,0.1094625,0.8403936,0.001588283,0.02504274,0.001585306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2379843,0.00007048814,0.7489776,0.00006810889,0.005523365,0.0003787705,0.00002898749,0.0004048126,0.006563556],"genre_scores_gemma":[0.9973345,0.00009599833,0.001108988,0.0000633592,0.0001837202,0.00008859161,0.00002123538,0.00005778125,0.001045769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8795003,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243186696379463,"score_gpt":0.2135109488264401,"score_spread":0.1910790818626455,"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."}}