{"id":"W3212440815","doi":"10.32920/ryerson.14649462.v1","title":"Residential energy management systems with renewables and battery energy storage","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"Mitacs","keywords":"Renewable energy; Energy management; Computer science; Demand response; Variety (cybernetics); Environmental economics; Controller (irrigation); Model predictive control; Energy storage; Transactive memory; Energy consumption; Scale (ratio); Control (management); Risk analysis (engineering); Electricity; Energy (signal processing); Engineering; Business; Economics; Knowledge management","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000140741,0.0006132377,0.0005796242,0.0003952746,0.0000725294,0.000603746,0.0003782001,0.000251166,0.0001141987],"category_scores_gemma":[0.000001762849,0.0005896905,0.00008462028,0.0001850989,0.00004749041,0.0001383051,0.001319205,0.0001695205,0.000002053548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235119,"about_ca_system_score_gemma":0.00002543386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003423597,"about_ca_topic_score_gemma":0.002822945,"domain_scores_codex":[0.9976451,0.00008039946,0.0004543553,0.0008257634,0.0005117835,0.0004826382],"domain_scores_gemma":[0.9985849,0.00003096172,0.00008284549,0.001089972,0.00005400144,0.0001572776],"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":[0.00001026421,0.00001950799,0.00006459338,0.001096319,0.001091823,0.0004756005,0.00002922967,0.9471518,0.00003974823,0.006131198,0.04323316,0.0006567782],"study_design_scores_gemma":[0.001896691,0.0001045818,0.001826388,0.003176194,0.001122572,0.0001214785,0.001689194,0.5464088,0.003470325,0.0003758992,0.4358045,0.004003404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02105122,0.01002487,0.8592963,0.0001522736,0.00699008,0.0003177116,0.00001922443,0.00172238,0.1004259],"genre_scores_gemma":[0.9657843,0.006347231,0.004646378,0.0001685527,0.0009049042,0.000566577,0.0003468218,0.0002683137,0.02096692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9447331,"threshold_uncertainty_score":0.9996554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733752006449119,"score_gpt":0.1649487382668934,"score_spread":0.1592149862604443,"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."}}