{"id":"W3122796355","doi":"10.5013/ijssst.a.17.41.01","title":"The Impact of Distributed Energy Storage on Total Operation Cost in Power","year":2016,"lang":"en","type":"article","venue":"International Journal of Simulation Systems Science & Technology","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Energy storage; Power (physics); Distributed generation; Energy (signal processing); Environmental science; Computer science; Reliability engineering; Engineering; Physics; Mathematics; Statistics; Thermodynamics","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":[0.001107199,0.0003797104,0.0004834535,0.000480414,0.0003620352,0.001346585,0.0005920531,0.0005304901,0.005722553],"category_scores_gemma":[0.007622811,0.000251115,0.0004194537,0.001017999,0.0003600952,0.002151798,0.0003857408,0.0006195619,0.0002472091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659291,"about_ca_system_score_gemma":0.000890906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008607809,"about_ca_topic_score_gemma":0.01145658,"domain_scores_codex":[0.9994992,0.0001669427,0.00002327794,0.00004577585,0.0001578713,0.0001069798],"domain_scores_gemma":[0.992579,0.00587723,0.000228795,0.0002754493,0.0008662757,0.0001731952],"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":[0.001501947,0.0001837997,0.01087914,0.00008557406,0.00006484144,0.0002091599,0.00003122046,0.948477,0.002008694,0.007587431,0.001430218,0.027541],"study_design_scores_gemma":[0.0000379686,0.0002644978,0.01441776,0.00001513157,0.0001047428,0.0001099698,0.0001661971,0.975743,0.003372984,0.005168193,0.0005761518,0.00002334803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975091,0.0005611404,0.009321688,0.0006661472,0.00007697466,0.00001784772,0.0006464659,0.0001104278,0.01350824],"genre_scores_gemma":[0.9988018,0.00004172234,0.0003354771,0.000007971837,0.000003271292,0.000002379489,0.00005700131,0.00001381616,0.00073671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008607809,"threshold_uncertainty_score":0.01914382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008512683083250646,"score_gpt":0.2739029302199755,"score_spread":0.2653902471367249,"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."}}