{"id":"W3096591327","doi":"10.3390/en13215782","title":"Power Loss-Aware Transactive Microgrid Coalitions under Uncertainty","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transactive memory; Microgrid; Enabling; Computer science; Game theory; Electricity; Environmental economics; Electric power system; Risk analysis (engineering); Distributed computing; Operations research; Power (physics); Reliability engineering; Business; Microeconomics; Economics; Engineering; Artificial intelligence; Knowledge management; Electrical engineering; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002846068,0.00017324,0.0001503457,0.00004612904,0.00005847152,0.00003884702,0.0001561316,0.00005280526,0.0005279985],"category_scores_gemma":[0.000004646058,0.0001776524,0.00008225948,0.0001950354,0.00005284812,0.0001257835,0.0000261845,0.0001173532,0.0001028244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006993084,"about_ca_system_score_gemma":0.00001146393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002795183,"about_ca_topic_score_gemma":0.00002356412,"domain_scores_codex":[0.9992651,0.00001825646,0.0001462038,0.0001878466,0.0001379317,0.0002446086],"domain_scores_gemma":[0.9996579,0.00003567272,0.00001299537,0.0001730817,0.00002490466,0.00009548978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006486186,0.000009814346,0.00002381274,0.00002102753,0.0001121923,0.00001303771,0.000521448,0.9825974,0.000910185,0.003322322,0.01224458,0.0002176721],"study_design_scores_gemma":[0.001164903,0.0001103362,0.002653929,0.00005004651,0.00009683776,0.000007503199,0.004700787,0.08353076,0.0348127,0.0007737385,0.8710032,0.001095273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492028,0.001646251,0.09804378,0.008786249,0.002320888,0.0003275318,0.0002007649,0.003752246,0.0357195],"genre_scores_gemma":[0.9984115,0.0001281783,0.0002955255,0.0007273444,0.0001643761,0.0000344731,0.00003540462,0.00004349777,0.0001597433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8990667,"threshold_uncertainty_score":0.7244455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009985587206303426,"score_gpt":0.1936529591660905,"score_spread":0.1836673719597871,"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."}}