{"id":"W4320713616","doi":"10.1016/j.apenergy.2023.120833","title":"Consensus and sharing based distributed coordination of home energy management systems with demand response enabled baseboard heaters","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Incentive; Transactive memory; Demand response; Smart grid; Grid; Thermostat; Computer science; Distributed computing; Distributed generation; Electricity; Environmental economics; Engineering; Microeconomics; Renewable energy; Knowledge management; Economics","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":[0.0003511703,0.0002728645,0.0003256629,0.0004330228,0.0000746107,0.00005242045,0.0001615405,0.00007763579,0.000007485944],"category_scores_gemma":[0.000004238896,0.0002680209,0.00003226393,0.0007291085,0.00006270298,0.00003807028,0.0001067793,0.00005052201,0.00000331839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270874,"about_ca_system_score_gemma":0.00001010407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575125,"about_ca_topic_score_gemma":0.00002747002,"domain_scores_codex":[0.9985565,0.00004429109,0.0003377755,0.000377154,0.0002893761,0.0003949316],"domain_scores_gemma":[0.9992312,0.0001426421,0.0000660196,0.0004173936,0.00003515907,0.0001076092],"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":[0.0004143033,0.00001758015,0.0002000389,0.0002349201,0.0002418597,0.00006678697,0.00001934506,0.9673882,0.003977075,0.02436345,0.002707151,0.000369332],"study_design_scores_gemma":[0.003248549,0.0001116617,0.006772358,0.0001625177,0.000142005,0.000006291959,0.0003199398,0.9474531,0.01633461,0.0001690538,0.02463205,0.0006478664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878699,0.0001975438,0.2034604,0.0001984508,0.0005225893,0.0003549048,0.00006201465,0.00154696,0.005787268],"genre_scores_gemma":[0.9985449,0.00005437498,0.0003223902,0.00003601973,0.00003535362,0.0002949656,0.0002021449,0.00007221088,0.0004376356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210675,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006395385247198011,"score_gpt":0.1736859737686902,"score_spread":0.1672905885214922,"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."}}