{"id":"W2128793456","doi":"10.1109/tste.2014.2309661","title":"Impact of Energy Storage Systems on Electricity Market Equilibrium","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Waterloo","funders":"Government of Canada","keywords":"Energy storage; Electricity market; Arbitrage; Market clearing; Mixed complementarity problem; Market price; Demand response; Economic dispatch; Electric power system; Computer science; Smart grid; Electricity; Distributed generation; Mathematical optimization; Microeconomics; Economics; Renewable energy; Power (physics); Engineering; Electrical engineering; Finance","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":[0.0002745203,0.000408771,0.000445927,0.0007449316,0.0001065896,0.0000615551,0.0003122351,0.0001724126,0.0001931894],"category_scores_gemma":[0.000009905358,0.0004032606,0.0002848562,0.0008575764,0.0000426521,0.0002226157,0.00000355367,0.0002011847,0.000007367554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956827,"about_ca_system_score_gemma":0.00006096491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002248979,"about_ca_topic_score_gemma":0.00003346572,"domain_scores_codex":[0.997862,0.0001439217,0.0004194211,0.0003670141,0.0004059265,0.000801756],"domain_scores_gemma":[0.9986764,0.0001915835,0.00007742541,0.000729693,0.0001413947,0.0001835073],"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":[0.0001114851,0.0001686418,0.000005944825,0.0001170699,0.0002705328,0.00001923766,0.00001572161,0.9817647,0.0009234112,0.007002621,0.007818121,0.001782559],"study_design_scores_gemma":[0.0009195894,0.001051965,0.0002523292,0.000052796,0.00008475785,0.000009750734,0.0001003999,0.9180923,0.02740955,0.0002116751,0.05115841,0.0006564744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04337186,0.0001142027,0.9070088,0.00001383282,0.001023076,0.0001059921,0.00001324331,0.0005080467,0.04784095],"genre_scores_gemma":[0.9815176,0.0000961222,0.00003038847,0.0000348543,0.000167979,0.000131791,0.000006289557,0.000112944,0.01790204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9381458,"threshold_uncertainty_score":0.9998419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004894339326047541,"score_gpt":0.1970326388369203,"score_spread":0.1921382995108727,"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."}}