{"id":"W2896963783","doi":"10.1109/sege.2018.8499484","title":"An Online Smart Microgrid Energy Monitoring and Management System","year":2018,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mohawk College","funders":"","keywords":"Microgrid; Photovoltaic system; Computer science; Energy management; Smart grid; Distributed generation; Maximum power point tracking; Fuzzy logic; Grid; Battery (electricity); Load balancing (electrical power); State of charge; Energy management system; Load management; Control engineering; Power (physics); Automotive engineering; Inverter; Engineering; Energy (signal processing); Renewable energy; Electrical engineering; Control (management); Voltage","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":[],"consensus_categories":[],"category_scores_codex":[0.0000323727,0.00008220322,0.00007370739,0.00004931821,0.00004158133,0.00004217896,0.00005694795,0.00002954385,0.00001238301],"category_scores_gemma":[2.623002e-7,0.00007604133,0.00001168291,0.00005865919,0.00001159281,0.00008242954,0.00001596237,0.00002065853,0.000007673376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002415161,"about_ca_system_score_gemma":9.811196e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003226175,"about_ca_topic_score_gemma":0.00002643738,"domain_scores_codex":[0.9996107,0.000006404299,0.0001006217,0.0001085542,0.0000448792,0.0001288131],"domain_scores_gemma":[0.9997881,0.000002865822,0.000008194171,0.0001271618,0.00002189027,0.00005179847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003443522,0.00009695706,0.004449009,0.0005219572,0.0003124558,0.00003016215,0.000281298,0.01748186,0.04965417,0.00485811,0.001897093,0.9203825],"study_design_scores_gemma":[0.0008513379,0.0001078724,0.006430635,0.0001093371,0.00005841417,0.00002185396,0.0004938994,0.8839155,0.02600605,0.00001198495,0.0815998,0.0003933084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5998014,0.009348906,0.3559292,0.00009828871,0.004048214,0.0004835491,0.00002706416,0.004079768,0.02618357],"genre_scores_gemma":[0.977559,0.0009970166,0.0206781,0.00001826982,0.0005609639,0.000008496077,0.0000121798,0.00002114207,0.0001447832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9199892,"threshold_uncertainty_score":0.3100875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006420530246649746,"score_gpt":0.1875632802709454,"score_spread":0.1811427500242956,"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."}}