{"id":"W3166592909","doi":"10.1049/rpg2.12223","title":"An adaptive real‐time energy management system for a renewable energy‐based microgrid","year":2021,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"FortisBC; Mitacs","keywords":"Microgrid; Renewable energy; Energy management system; Computer science; Energy management; Energy (signal processing); Real-time computing; Engineering; Electrical engineering; Mathematics","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":[0.0002620281,0.0003931558,0.0003039229,0.0001605236,0.0003112176,0.0004170002,0.0006934921,0.0002902264,0.001514691],"category_scores_gemma":[0.0003177644,0.0001388024,0.0002444914,0.0001951705,0.0002279696,0.0003217011,0.0004086065,0.0003766524,0.0002263191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694314,"about_ca_system_score_gemma":0.0004018701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551029,"about_ca_topic_score_gemma":0.002618246,"domain_scores_codex":[0.9998838,0.00003572022,0.000008083859,0.00003135729,0.0000297819,0.00001120087],"domain_scores_gemma":[0.999904,0.00002327711,0.00002284645,0.00001175256,0.00002743206,0.00001060177],"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":[0.0001325256,0.0000815353,0.0006692276,0.0001002507,0.00005297584,0.0002375698,0.00007595056,0.8867539,0.01315812,0.005281225,0.001695971,0.09176075],"study_design_scores_gemma":[0.000008402308,0.00003891157,0.00008213764,0.000002209584,0.000004444313,0.00001364215,0.00000534347,0.9984981,0.0005219052,0.0003477766,0.0004735602,0.000003642481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.086442,0.0003628392,0.9035376,0.0002906312,0.0001208241,0.00008790169,0.00005167749,0.00102888,0.008077556],"genre_scores_gemma":[0.9664329,0.00008404524,0.0314274,0.00003987147,0.00002334524,0.00006273674,0.00002475072,0.00001351963,0.001891393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002551029,"threshold_uncertainty_score":0.005072355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006870236687341355,"score_gpt":0.1870623239292948,"score_spread":0.1801920872419534,"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."}}