{"id":"W2081666512","doi":"10.1109/pesmg.2013.6672552","title":"Demand response potential of water heaters to mitigate minimum generation conditions","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Demand response; Electricity; Renewable energy; Electricity generation; Greenhouse gas; Base load power plant; Work (physics); Environmental science; Water heating; Greenhouse; Environmental economics; Computer science; Automotive engineering; Engineering; Power (physics); Economics; Waste management; Electrical engineering; Distributed generation; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004442247,0.0003195111,0.000226122,0.0002257355,0.0002119183,0.0004680057,0.0005402721,0.0003209328,0.00191189],"category_scores_gemma":[0.0007608235,0.0001551552,0.0001934838,0.0001346312,0.0001838869,0.0007314382,0.0003547389,0.0003085151,0.0004208265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169064,"about_ca_system_score_gemma":0.0002460064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475288,"about_ca_topic_score_gemma":0.002561006,"domain_scores_codex":[0.9997454,0.00007639652,0.000008421923,0.00004104684,0.00007415007,0.00005449753],"domain_scores_gemma":[0.9995841,0.000174526,0.00005182446,0.0000405639,0.0001271736,0.00002176148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001612571,0.0006163972,0.02743423,0.0005149781,0.00009792126,0.0005649173,0.0005790433,0.1780607,0.4965098,0.004380201,0.003937939,0.2856913],"study_design_scores_gemma":[0.0001033324,0.001784666,0.02111629,0.00004215394,0.00008418709,0.0003178136,0.001121248,0.5113925,0.4401024,0.002766869,0.02107698,0.00009152255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829803,0.000396123,0.09606549,0.0005633915,0.00008199381,0.0001069911,0.0001761002,0.001206611,0.01842303],"genre_scores_gemma":[0.995496,0.00004802618,0.003244768,0.00002972442,0.000007062748,0.00001244407,0.00003348112,0.00001512198,0.001113361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00191189,"threshold_uncertainty_score":0.006395876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006626892304529815,"score_gpt":0.1893552898147153,"score_spread":0.1827283975101855,"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."}}