{"id":"W4381513176","doi":"10.1080/23080477.2023.2225957","title":"Security Restricted Dispatch Optimization Using Improved LDOA Technique: In an Islanded Microgrid System","year":2023,"lang":"en","type":"article","venue":"Smart Science","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Renewable energy; Scheduling (production processes); Distributed generation; Economic dispatch; Computer science; Wind power; Mathematical optimization; Demand response; Electric power system; Engineering; Power (physics); Electrical engineering; Electricity; Mathematics","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":[0.0003480406,0.0005337851,0.0005261956,0.0003350504,0.0001886371,0.0005069639,0.0003463933,0.0003591055,0.001016097],"category_scores_gemma":[0.0007848192,0.0001587406,0.0003527203,0.0003304919,0.000219626,0.0004419768,0.0003712559,0.0003357698,0.0001022267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663661,"about_ca_system_score_gemma":0.0004602227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587982,"about_ca_topic_score_gemma":0.002630166,"domain_scores_codex":[0.9998473,0.00006690377,0.000009515651,0.000026483,0.00003134174,0.00001836439],"domain_scores_gemma":[0.9998077,0.00009339426,0.00003485139,0.00001509348,0.00003416955,0.00001487303],"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":[0.0001093284,0.0000347828,0.0008418553,0.00007858993,0.00004806067,0.00007037597,0.00003877985,0.9547841,0.002846783,0.004972665,0.0005532768,0.03562152],"study_design_scores_gemma":[0.00001042524,0.00003367159,0.0001491654,0.000003745,0.000005688809,0.000012655,0.000008192791,0.9979646,0.000381865,0.0009285805,0.0004983707,0.000003090445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08700483,0.0005601418,0.9064966,0.0002627075,0.00007546159,0.00005889702,0.00008429628,0.0001976307,0.005259449],"genre_scores_gemma":[0.9004262,0.0002585602,0.09699238,0.00004611496,0.00002836836,0.00007078439,0.00008024211,0.00003392022,0.00206351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002587982,"threshold_uncertainty_score":0.005145848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008143822431694196,"score_gpt":0.2281346708144948,"score_spread":0.2199908483828006,"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."}}