{"id":"W2282710367","doi":"","title":"Electrical thermal storage optimization for demand side management","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Thermal energy storage; Electricity; Cold storage; Environmental science; Electricity demand; Corporation; Peak demand; Business; Electricity generation; Environmental economics; Engineering; Power (physics); Electrical engineering; Finance; Economics","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":[0.000291546,0.0007715579,0.0008173742,0.0003138222,0.0004367356,0.001033914,0.0007970656,0.0005995667,0.01228361],"category_scores_gemma":[0.0004944267,0.0003016677,0.0003248159,0.0005945822,0.0002219712,0.0006173336,0.0003800294,0.0005250991,0.0006987792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758889,"about_ca_system_score_gemma":0.00198136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05281309,"about_ca_topic_score_gemma":0.08555103,"domain_scores_codex":[0.9998531,0.00002998526,0.000004708783,0.00002316763,0.00004096514,0.00004786443],"domain_scores_gemma":[0.9998354,0.0000527321,0.0000132713,0.000009429105,0.00007525661,0.00001397399],"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":[0.0001587592,0.0000547756,0.0003570377,0.00008298901,0.00003010106,0.0000533705,0.00002168049,0.9626501,0.00362832,0.002777547,0.004185962,0.02599937],"study_design_scores_gemma":[0.00001365453,0.00002943192,0.0002681171,0.000007096124,0.00001092475,0.0000100934,0.00001846527,0.9969007,0.0006054848,0.0008902848,0.001240556,0.000005317773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3351439,0.005600793,0.5083824,0.002137503,0.0003290915,0.0004659871,0.002455526,0.002107719,0.1433771],"genre_scores_gemma":[0.976703,0.000361384,0.007954469,0.00007203719,0.00002156146,0.00005511155,0.0002684462,0.00005551536,0.01450851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05281309,"threshold_uncertainty_score":0.1050113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007346477797026499,"score_gpt":0.1940419232022192,"score_spread":0.1866954454051927,"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."}}