{"id":"W2343039709","doi":"10.1109/tsg.2015.2506152","title":"Including Smart Loads for Optimal Demand Response in Integrated Energy Management Systems for Isolated Microgrids","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Oak Ridge National Laboratory","keywords":"Microgrid; Dispatchable generation; Demand response; Energy management system; Energy management; Load management; Smart grid; Electric power system; Energy storage; Computer science; Renewable energy; Engineering; Distributed generation; Mathematical optimization; Reliability engineering; Control engineering; Power (physics); Energy (signal processing); Electricity; 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":[0.0003942799,0.0007401299,0.0007633578,0.0001983555,0.0003793392,0.0008845065,0.0008315321,0.0006290582,0.00255701],"category_scores_gemma":[0.000724966,0.0003733462,0.000536395,0.0003051685,0.0004833719,0.001255611,0.0005760863,0.0009872782,0.0003011961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008747997,"about_ca_system_score_gemma":0.0009547786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007385864,"about_ca_topic_score_gemma":0.01123212,"domain_scores_codex":[0.9997305,0.00009111377,0.000009110295,0.00006068067,0.00007419848,0.00003441243],"domain_scores_gemma":[0.9998375,0.00006890891,0.000037079,0.0000162197,0.00003114757,0.000009113417],"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":[0.00001742925,0.00002079469,0.0001162199,0.00002322136,0.000008058907,0.00002598987,0.00002031485,0.9878,0.0005430755,0.006322871,0.0002700254,0.004832059],"study_design_scores_gemma":[0.00000245621,0.00001122934,0.0000348874,0.000001866041,0.000002513477,0.000003446147,0.000004255627,0.9985221,0.00009685143,0.00110605,0.0002126668,0.000001731213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04067043,0.0003021649,0.9429544,0.0003561198,0.00006810745,0.00008456731,0.0001290986,0.0003808143,0.01505444],"genre_scores_gemma":[0.9737447,0.0002229763,0.02164251,0.00006779459,0.00003028641,0.0001030199,0.00005673695,0.00004385236,0.004088145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007385864,"threshold_uncertainty_score":0.01468569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844076573512358,"score_gpt":0.2299511043629342,"score_spread":0.2115103386278106,"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."}}