{"id":"W4308087395","doi":"10.1109/isc255366.2022.9921890","title":"Optimal Regulation of Prosumers and Consumers in Smart Energy Communities","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Smart Cities Conference (ISC2)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Prosumer; Probabilistic logic; Photovoltaic system; Computer science; Environmental economics; Renewable energy; Business; Mathematical optimization; Engineering; Economics; Mathematics; Electrical engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002452722,0.0001863576,0.0002251447,0.0004207557,0.0001069682,0.00005042693,0.0003744438,0.00004089072,0.001828133],"category_scores_gemma":[0.00001012304,0.0002325334,0.00005021644,0.0001777997,0.0001807638,0.000230694,0.0002482341,0.0002280021,0.000002433787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195037,"about_ca_system_score_gemma":0.00003790833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542353,"about_ca_topic_score_gemma":0.001030445,"domain_scores_codex":[0.9986569,0.00009632314,0.0003989121,0.0001694898,0.0004570375,0.0002212966],"domain_scores_gemma":[0.9994832,0.0001044906,0.00008635951,0.0002141387,0.00007033022,0.00004153042],"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":[0.0001406004,0.0001058451,0.07756877,0.0001091937,0.0004305468,0.00001632006,0.004803601,0.8390443,0.004224079,0.06153442,0.008240453,0.003781822],"study_design_scores_gemma":[0.001375359,0.0001396676,0.07098629,0.00009278835,0.00003551041,0.00002860271,0.01436809,0.8246807,0.004436161,0.00118351,0.08201625,0.0006570267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689538,0.0001606398,0.002759499,0.0002825735,0.002205955,0.0001477996,0.0001153678,0.000118482,0.02525582],"genre_scores_gemma":[0.9973392,0.0002271673,0.000256083,0.00008045805,0.00003838005,0.0002230068,0.0001914697,0.00002876282,0.001615455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0737758,"threshold_uncertainty_score":0.9990844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018313188344867,"score_gpt":0.216402078312019,"score_spread":0.1962189464285704,"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."}}