{"id":"W2981719102","doi":"10.1049/iet-gtd.2019.0241","title":"Microgrid energy management: how uncertainty modelling impacts economic performance","year":2019,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Energy management; Computer science; Environmental economics; Energy (signal processing); Reliability engineering; Risk analysis (engineering); Operations research; Business; Engineering; Economics; Control (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001545991,0.0007254533,0.0005231301,0.0003678914,0.0003563707,0.00169832,0.0005579585,0.0006492055,0.001159085],"category_scores_gemma":[0.00539172,0.0002617205,0.0004088495,0.0005840824,0.0003339486,0.002046203,0.0007259895,0.0007065008,0.0001368818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009490796,"about_ca_system_score_gemma":0.0005981608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009583881,"about_ca_topic_score_gemma":0.005031454,"domain_scores_codex":[0.9995173,0.0002182434,0.00002461048,0.00005207549,0.000121359,0.00006633823],"domain_scores_gemma":[0.9982185,0.001230701,0.0001950188,0.0001057769,0.0002132444,0.00003673648],"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":[0.00003635664,0.00001405244,0.002087354,0.00003046751,0.00002975781,0.0000340842,0.00002259164,0.9848813,0.000465695,0.003913878,0.000246555,0.008237874],"study_design_scores_gemma":[0.000003541253,0.00002735755,0.001185149,0.00001598827,0.0000123532,0.00001604148,0.00003918126,0.9927199,0.0006517717,0.004855417,0.000461979,0.0000113658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6881074,0.003551185,0.2783386,0.003027687,0.0001556811,0.00007012742,0.0006945804,0.0004005574,0.02565418],"genre_scores_gemma":[0.9964246,0.0003922911,0.002788918,0.00002092106,0.00001222678,0.000007174167,0.00005224285,0.00001403881,0.0002876153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009583881,"threshold_uncertainty_score":0.0190562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009312707824747943,"score_gpt":0.1799936741727057,"score_spread":0.1706809663479577,"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."}}