{"id":"W4244444641","doi":"10.32920/ryerson.14645877","title":"Demand side management in smart grid","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smart grid; Demand response; HVAC; Grid; Peak demand; Demand side; Load shifting; Computer science; Load management; Electricity; Consumption (sociology); Reduction (mathematics); Demand management; Consumer demand; Environmental economics; Microeconomics; Economics; Air conditioning; Electrical engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136762,0.0003062597,0.000332681,0.0001354867,0.000291467,0.0007731557,0.0003409835,0.000397772,0.003821807],"category_scores_gemma":[0.0002443698,0.0001449684,0.0002319817,0.0002999487,0.0002041592,0.0008719192,0.0004112582,0.0004314281,0.0007809924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727789,"about_ca_system_score_gemma":0.0002848895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226118,"about_ca_topic_score_gemma":0.001246011,"domain_scores_codex":[0.9998216,0.00005221399,0.000009088388,0.00003765394,0.0000533812,0.0000261287],"domain_scores_gemma":[0.9998759,0.00003957322,0.00001516547,0.00002015032,0.00003841015,0.00001085406],"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":[0.0005539276,0.0002780718,0.002847767,0.0005585479,0.00007804724,0.000787654,0.0002373772,0.5433601,0.04977616,0.0639378,0.02620142,0.3113832],"study_design_scores_gemma":[0.0000271503,0.0001039603,0.0006075854,0.00001670043,0.00001711243,0.0001656855,0.00008315633,0.9511526,0.009608774,0.01980082,0.01840091,0.00001554326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1245276,0.002924548,0.8231266,0.001842116,0.0004682371,0.000149032,0.0003815212,0.002423951,0.04415644],"genre_scores_gemma":[0.959341,0.0007272105,0.02883223,0.0001887352,0.0001182416,0.00004209203,0.0001728809,0.00009552234,0.01048207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003821807,"threshold_uncertainty_score":0.01278526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010972323830837,"score_gpt":0.2034861270408496,"score_spread":0.1933764038025413,"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."}}