{"id":"W3186065431","doi":"10.1115/1.4051735","title":"Economic Control for a Residential Photovoltaic-Battery System by Combining Stochastic Model Predictive Control and Improved Correction Strategy","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Photovoltaic system; Stand-alone power system; Model predictive control; Computer science; Electricity; Automotive engineering; Electricity generation; Grid-connected photovoltaic power system; Grid; Limit (mathematics); Electric power system; Maximum power point tracking; Power (physics); Reliability engineering; Renewable energy; Distributed generation; Control theory (sociology); Control (management); Engineering; Electrical engineering; Voltage; Mathematics","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":[0.0002089832,0.0002246202,0.0005410615,0.0004029746,0.00009283692,0.00006617419,0.0001938488,0.0002549483,0.000003287991],"category_scores_gemma":[0.00005155634,0.0002342104,0.0001094845,0.0001128799,0.00008144161,0.0001426949,0.00004149598,0.0002667398,4.333141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781105,"about_ca_system_score_gemma":0.00005292419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002130085,"about_ca_topic_score_gemma":0.00006144096,"domain_scores_codex":[0.9986814,0.00003995926,0.0006161279,0.0002303462,0.00011126,0.0003209574],"domain_scores_gemma":[0.9991117,0.0001595036,0.0003077893,0.0001956793,0.0001402871,0.00008501801],"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":[0.0002478726,0.00001975371,0.00007439377,0.00003888076,0.0005539431,0.00001872986,0.00002874363,0.9497927,0.04533707,0.0004817194,0.002789671,0.0006165401],"study_design_scores_gemma":[0.0038295,0.0004000796,0.00003562025,0.00009465531,0.0002258881,0.0002879035,0.0007057842,0.9869386,0.006098264,0.0002738009,0.0009236882,0.000186223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2627221,0.00136548,0.7342371,0.0001044285,0.00104885,0.0001211805,0.00003341477,0.0001907193,0.0001767208],"genre_scores_gemma":[0.9991527,0.00004914309,0.0002637023,0.00004499528,0.000232568,0.00007482903,0.000005163406,0.00005269564,0.000124267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7364305,"threshold_uncertainty_score":0.9550821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003183748939902043,"score_gpt":0.1775956474315157,"score_spread":0.1744118984916137,"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."}}