{"id":"W4377024611","doi":"10.20944/preprints202305.1021.v1","title":"Integrated Demand Response Programs in Energy Hubs: A Review of Applications, Classifications, Models and Future Directions","year":2023,"lang":"en","type":"review","venue":"Preprints.org","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Demand response; Renewable energy; Greenhouse gas; Electricity; Environmental economics; Computer science; Electric power system; Energy consumption; Engineering; Power (physics); Economics; Electrical engineering","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":[0.001483474,0.001486729,0.001650219,0.002436364,0.0003479102,0.002497387,0.001702806,0.00136349,0.002890345],"category_scores_gemma":[0.001838153,0.0008574373,0.001448283,0.005214656,0.0008319661,0.003422709,0.0009888705,0.001612363,0.001199791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541823,"about_ca_system_score_gemma":0.001533534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003945999,"about_ca_topic_score_gemma":0.003066318,"domain_scores_codex":[0.9993472,0.0001491432,0.00008198521,0.0001808252,0.000187871,0.00005300572],"domain_scores_gemma":[0.9986058,0.0009206384,0.000143663,0.00006196676,0.0002328507,0.00003514098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008989214,0.0002223081,0.002268107,0.01573297,0.0002469589,0.0001747647,0.0002137779,0.03806768,0.001069059,0.1374003,0.01848581,0.7860283],"study_design_scores_gemma":[0.00004164233,0.0003213091,0.004073019,0.009836133,0.000475425,0.0009415432,0.000553306,0.08298466,0.001628527,0.1317099,0.7672014,0.0002331693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001744296,0.9541664,0.03510119,0.001092559,0.0003214531,0.00003981595,0.0001434235,0.00008543503,0.007305552],"genre_scores_gemma":[0.0172736,0.9628131,0.01687077,0.0003228418,0.0006523926,0.00006180777,0.0002313098,0.00004037357,0.00173373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003945999,"threshold_uncertainty_score":0.01118678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1807537076767675,"score_gpt":0.3473781601796783,"score_spread":0.1666244525029108,"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."}}