{"id":"W4392164686","doi":"10.1002/9781394167319.ch2","title":"Renewable Power Generation Price Prediction and Forecasting Using Machine Learning","year":2024,"lang":"en","type":"other","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity price forecasting; Renewable energy; Computer science; Predictive power; Machine learning; Econometrics; Economics; Artificial intelligence; Electricity price; Engineering; Electricity; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001323616,0.0002608298,0.0002045289,0.000251381,0.00005495246,0.0001034971,0.00004316351,0.0002444823,0.000644168],"category_scores_gemma":[0.00002047708,0.000250997,0.00004048456,0.0001485796,0.00001294184,0.00007555552,0.00004032573,0.0002908786,0.00002137984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005157621,"about_ca_system_score_gemma":0.000007932798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006116844,"about_ca_topic_score_gemma":0.0004419035,"domain_scores_codex":[0.999144,0.00001684283,0.0002193413,0.000265353,0.0001256246,0.0002288413],"domain_scores_gemma":[0.999758,0.00001387737,0.00005184155,0.000105217,0.00001137024,0.00005968141],"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":[0.000005865651,0.0000166563,0.0008245445,0.001654695,0.0006087989,0.00005517258,0.0006713973,0.6095936,0.0352261,0.0009203696,0.3435023,0.006920402],"study_design_scores_gemma":[0.00007051932,0.00001445671,0.000001128239,0.000338634,0.0000306043,0.00003386165,0.00001138152,0.6256293,0.0003860186,0.00001233529,0.3732654,0.0002063699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001183968,0.01059433,0.01754644,0.000003555591,0.001560272,0.000106188,0.00002588034,0.001696164,0.9672832],"genre_scores_gemma":[0.02503978,0.0005321844,0.01235208,0.0000159532,0.001524312,0.00001008069,0.0001575097,0.001236368,0.9591317],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03484008,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324009514701816,"score_gpt":0.2079371687042764,"score_spread":0.1846970735572583,"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."}}