{"id":"W2708946506","doi":"10.1109/ccece.2017.7946739","title":"Impact of demand response management on improving social welfare of remote communities through integrating renewable energy resources","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Resources Canada","keywords":"Demand response; Renewable energy; Environmental economics; Renewable resource; Load management; Social Welfare; Computer science; Demand management; Diesel generator; Energy management; Welfare; Business; Energy (signal processing); Economics; Diesel fuel; Engineering; Electricity; Automotive 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":[0.001077463,0.0007950141,0.0004385556,0.0003117402,0.0004577604,0.0007451185,0.0005501783,0.0006294477,0.003018203],"category_scores_gemma":[0.001660154,0.0001541622,0.0003879157,0.0002292331,0.0004201845,0.000960497,0.001132683,0.0006245435,0.0001550038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000872923,"about_ca_system_score_gemma":0.0009147779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003932894,"about_ca_topic_score_gemma":0.006717868,"domain_scores_codex":[0.9994493,0.0003382592,0.00000669434,0.00004154896,0.00006861943,0.00009555463],"domain_scores_gemma":[0.9991048,0.0005154418,0.0001087862,0.00004072857,0.00009704454,0.0001332426],"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":[0.000463357,0.0007825235,0.007051954,0.0001299265,0.0001267585,0.0004231806,0.000107957,0.9250377,0.0100441,0.00747959,0.0007185629,0.0476344],"study_design_scores_gemma":[0.00006596901,0.0008301443,0.005236694,0.00001785995,0.00007848581,0.00009539656,0.000598275,0.9808586,0.003931766,0.00717712,0.001088138,0.00002155264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139303,0.000342189,0.0672567,0.0009766086,0.00003266615,0.0001884259,0.0001035937,0.0001302619,0.01703914],"genre_scores_gemma":[0.9953064,0.00007028057,0.00377173,0.00003102079,0.000005943922,0.00002041259,0.0000167581,0.00001005727,0.0007672841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003932894,"threshold_uncertainty_score":0.01009691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660852556553652,"score_gpt":0.2529737881791002,"score_spread":0.2363652626135637,"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."}}