{"id":"W4394966972","doi":"10.1109/access.2024.3391298","title":"Maximum Reserved Capacity of Aggregated Electric Water Heaters Virtual Battery for Peak Management","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Research Council Canada","keywords":"Demand response; Computer science; News aggregator; Peaking power plant; Payback period; Grid; Model predictive control; Peak demand; Robustness (evolution); Automotive engineering; Control (management); Simulation; Reliability engineering; Electricity; Distributed generation; Engineering; Renewable energy; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003176865,0.0004027232,0.0003979865,0.0003012223,0.0001889559,0.0009084797,0.0007190922,0.0002723127,0.0009197175],"category_scores_gemma":[0.0008678797,0.0001742871,0.0003026022,0.0002381249,0.0002920136,0.0009257614,0.0004555185,0.0003100339,0.00009532225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005958902,"about_ca_system_score_gemma":0.0004642039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724963,"about_ca_topic_score_gemma":0.003494408,"domain_scores_codex":[0.9998204,0.00004991752,0.000006082504,0.00003015982,0.00005806416,0.00003541691],"domain_scores_gemma":[0.9997883,0.00009480123,0.00002833441,0.00002917435,0.00004728298,0.00001199159],"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":[0.00007938006,0.00002045948,0.0006940342,0.00004024543,0.00001458313,0.00006461226,0.00003321212,0.9783061,0.004957587,0.002395209,0.000240079,0.01315456],"study_design_scores_gemma":[0.000001761536,0.00001868897,0.0001633912,0.000002747459,0.000004149532,0.000006436091,0.00001180969,0.9977864,0.001095342,0.0007634094,0.0001430478,0.000002857663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5595523,0.0006672699,0.425992,0.0002032863,0.00006604942,0.00006299006,0.0001677897,0.0006106374,0.01267776],"genre_scores_gemma":[0.9987431,0.00002584567,0.0009030449,0.000004214295,0.000002168567,0.000005735508,0.00001349417,0.00000538094,0.0002970714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003724963,"threshold_uncertainty_score":0.007406533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259502318880824,"score_gpt":0.2438465353910457,"score_spread":0.2178963035029633,"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."}}