{"id":"W2973797128","doi":"10.1016/j.jup.2019.100959","title":"Assessing the impact of residential load profile changes on electricity distribution utility revenues under alternative rate structures","year":2019,"lang":"en","type":"article","venue":"Utilities Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Revenue; Photovoltaics; Electricity; Environmental economics; Load shifting; Electricity demand; Total revenue; Distribution (mathematics); Environmental science; Natural resource economics; Photovoltaic system; Electricity generation; Business; Economics; Engineering; Electrical engineering; Finance; Power (physics); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002901754,0.0001925734,0.0002049739,0.00009335257,0.00007098545,0.00007699509,0.0002200936,0.00005884356,0.0001222008],"category_scores_gemma":[0.0001210484,0.0001398283,0.00009945757,0.0002657281,0.00008100158,0.0001392354,0.00006745366,0.0001738268,0.00001355079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667662,"about_ca_system_score_gemma":0.00009198991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006862929,"about_ca_topic_score_gemma":0.0001671671,"domain_scores_codex":[0.9988992,0.0001377409,0.0001885726,0.0001817446,0.0002546689,0.0003380763],"domain_scores_gemma":[0.9992758,0.0001419868,0.00008101881,0.0003958599,0.00006831261,0.00003700104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000473308,0.0002289383,0.02301017,0.001098679,0.002122348,0.000009738415,0.005565615,0.7391903,0.02364111,0.1431987,0.03449928,0.02696179],"study_design_scores_gemma":[0.0004622459,0.0001906144,0.8836644,0.00007959674,0.00003270071,0.000001979623,0.0005498148,0.04458706,0.05366421,0.01468281,0.001775469,0.0003091258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905891,0.0001193103,0.0004646366,0.0001275752,0.0002817667,0.0002718196,0.0001844466,0.0001025778,0.007858814],"genre_scores_gemma":[0.999041,0.00004334879,0.00001047979,0.000033142,0.0004147248,0.00001730498,0.00005314166,0.00002122576,0.0003656619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8606542,"threshold_uncertainty_score":0.9997504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038812338553595,"score_gpt":0.3075718964673791,"score_spread":0.2871837730818432,"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."}}