{"id":"W2787443788","doi":"10.1109/epec.2017.8286192","title":"An overview of forecasting techniques for load, wind and solar powers","year":2017,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wind power; Solar wind; Computer science; Photovoltaic system; Meteorology; Environmental science; Electrical engineering; Engineering; Physics; Plasma","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":[0.0007545322,0.001241712,0.0009812597,0.002067975,0.0004057155,0.001118635,0.001109874,0.00098965,0.002738788],"category_scores_gemma":[0.002115196,0.0005242302,0.001084616,0.004277128,0.0002195848,0.001992699,0.0004655089,0.001506127,0.003588194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113199,"about_ca_system_score_gemma":0.0004951759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735534,"about_ca_topic_score_gemma":0.002068227,"domain_scores_codex":[0.9994653,0.00008516882,0.00005364239,0.0001312309,0.0002306773,0.00003404844],"domain_scores_gemma":[0.9994067,0.0002510522,0.0000516829,0.00008706876,0.0001885149,0.00001504252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004751742,0.00004997995,0.001051024,0.0009839403,0.00008234378,0.00006724543,0.00007307579,0.03430213,0.003885441,0.01787876,0.0170611,0.9245175],"study_design_scores_gemma":[0.00002266384,0.0001568589,0.004493633,0.0009569572,0.0002029508,0.001050827,0.0001173988,0.3668604,0.01109313,0.06452683,0.5503337,0.0001847082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002371586,0.05388255,0.9293979,0.0006181387,0.0008938882,0.00008311894,0.0009058458,0.001911437,0.009935487],"genre_scores_gemma":[0.07311881,0.2033897,0.7001334,0.0005579038,0.002776108,0.0002698055,0.00435417,0.0006354903,0.01476467],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002738788,"threshold_uncertainty_score":0.009162128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470184480931339,"score_gpt":0.288822325608389,"score_spread":0.2341204807990756,"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."}}