{"id":"W4308391685","doi":"10.3390/electronics11213610","title":"Maximizing the Electricity Cost-Savings for Local Distribution System Using a New Peak-Shaving Approach Based on Mixed Integer Linear Programming","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Emera","keywords":"Peaking power plant; Integer programming; Linear programming; Electricity; Mathematical optimization; Computer science; Energy storage; Power (physics); Automotive engineering; Distributed generation; Reliability engineering; Algorithm; Engineering; Renewable energy; Mathematics; 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":[0.0007671524,0.0007582057,0.0007129683,0.0004538478,0.0002822291,0.001049512,0.0008214477,0.0005378159,0.001724273],"category_scores_gemma":[0.0008498156,0.0003729161,0.0004162145,0.000560321,0.0003450944,0.0008050251,0.0004814875,0.0007092759,0.0001560864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008941891,"about_ca_system_score_gemma":0.00101568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003958888,"about_ca_topic_score_gemma":0.006245901,"domain_scores_codex":[0.9997302,0.0001077349,0.000008785856,0.00004912921,0.0000633109,0.0000408741],"domain_scores_gemma":[0.9996864,0.0001897912,0.00003910905,0.00001599859,0.00005095759,0.00001772417],"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":[0.00003042627,0.00003565085,0.0001964812,0.00002346644,0.00001130351,0.0000187794,0.00001446056,0.98175,0.0009149544,0.001643805,0.0002185346,0.01514211],"study_design_scores_gemma":[0.000003101386,0.00001746177,0.00003164313,0.000001261174,0.0000024641,0.000003590124,0.0000043948,0.999189,0.0002714427,0.0003709602,0.0001034658,0.000001214994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06259224,0.0001794986,0.9303213,0.0002236299,0.00002147953,0.0001044445,0.000054967,0.0003135121,0.006188844],"genre_scores_gemma":[0.8237783,0.000159564,0.1712252,0.00008238378,0.00002381076,0.0001602857,0.00007886812,0.00007442826,0.004417229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003958888,"threshold_uncertainty_score":0.007871687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602860869563252,"score_gpt":0.2142605123614535,"score_spread":0.198231903665821,"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."}}