{"id":"W4309213926","doi":"10.3390/en15228525","title":"Microgrid Energy Management and Methods for Managing Forecast Uncertainties","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Renewable energy; Microgrid; Environmental economics; Electricity generation; Energy management; Fossil fuel; Intermittent energy source; Energy storage; Electricity; Energy engineering; Distributed generation; Environmental science; Engineering; Energy (signal processing); Economics; Power (physics); Waste management","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":[0.0001230669,0.00009935332,0.0001083294,0.0001035114,0.0001710782,0.00004246994,0.00008709633,0.0000137947,0.00003313726],"category_scores_gemma":[0.0000017269,0.0001056654,0.00003931388,0.00008987218,0.00001578969,0.0000569493,0.00009506475,0.00003589555,1.941867e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003609918,"about_ca_system_score_gemma":0.000002120393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001670578,"about_ca_topic_score_gemma":0.000005418697,"domain_scores_codex":[0.9995236,0.00002505349,0.0001084261,0.0001263771,0.00004699156,0.0001695569],"domain_scores_gemma":[0.999816,0.00003943162,0.00001662576,0.00009706232,0.00001016884,0.00002068303],"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":[0.000009496612,0.000003137724,0.000007580072,0.00003801145,0.0000573131,0.000001024878,0.0001179451,0.5847827,0.0005775461,0.008784263,0.00213987,0.4034811],"study_design_scores_gemma":[0.0003093263,0.00002334305,0.00002186162,0.000004031062,0.00002940045,0.00000485195,0.0005147728,0.4023342,0.002129093,0.002689657,0.5917962,0.0001432283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01168019,0.116287,0.8615572,0.0004438769,0.001956051,0.0004418201,0.00004498503,0.0009351785,0.006653734],"genre_scores_gemma":[0.2431321,0.01840216,0.7300697,0.0005872193,0.0003541341,0.001937703,0.0002026288,0.0001646567,0.005149741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5896564,"threshold_uncertainty_score":0.430891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005546610083607112,"score_gpt":0.2226927517524799,"score_spread":0.2171461416688727,"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."}}