{"id":"W3085049125","doi":"10.1016/j.est.2020.101853","title":"Techno-economic study driven based on available efficiency index for optimal operation of a smart grid in the presence of energy storage system","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Energy storage; Smart grid; Renewable energy; Reliability engineering; Profit (economics); Electric power system; Tariff; Computer science; Environmental economics; Engineering; Power (physics); Electrical engineering; Economics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032869,0.0004052717,0.0004818444,0.0007142369,0.0003045297,0.001286633,0.000509339,0.0006512468,0.003527659],"category_scores_gemma":[0.002484365,0.0001910382,0.0006811117,0.0005657123,0.0003925884,0.000931013,0.0003864729,0.0005893849,0.0001131344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937665,"about_ca_system_score_gemma":0.0006149365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004477625,"about_ca_topic_score_gemma":0.004361748,"domain_scores_codex":[0.9996946,0.0001264015,0.00001265603,0.0000326739,0.00008557185,0.00004812701],"domain_scores_gemma":[0.9985221,0.001107557,0.00007993014,0.00004415736,0.0002065906,0.00003973782],"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":[0.0001738129,0.0001050818,0.005620733,0.0001114688,0.00007130438,0.0003164,0.00004445049,0.9619867,0.002102131,0.01953299,0.0007734487,0.009161394],"study_design_scores_gemma":[0.000003018879,0.00002705769,0.00120534,0.000004970977,0.0000104346,0.00002204628,0.00003044561,0.9970764,0.0002436031,0.001259433,0.0001134788,0.000003768697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342039,0.001334017,0.2237605,0.001298669,0.0001667715,0.0001466585,0.0003803181,0.0001085052,0.03860069],"genre_scores_gemma":[0.9971733,0.0001252725,0.001605274,0.00001112174,0.00001276192,0.0000141214,0.00003937227,0.000006913882,0.001011928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004477625,"threshold_uncertainty_score":0.01180124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119362298913027,"score_gpt":0.2036880429560495,"score_spread":0.1917518130647468,"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."}}