{"id":"W3195153849","doi":"10.1109/tpwrs.2021.3104768","title":"Energy-Storage Modeling: State-of-the-Art and Future Research Directions","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Energy storage; Computer science; Electric power system; Energy modeling; Energy balance; Fidelity; Rendering (computer graphics); Reliability engineering; Efficient energy use; Systems engineering; Engineering; Power (physics); Artificial intelligence","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":[0.004424117,0.001127735,0.001578884,0.001147429,0.0006032452,0.004821032,0.00356572,0.002498808,0.008905119],"category_scores_gemma":[0.005449778,0.0007115612,0.001275758,0.002750459,0.001915315,0.01184386,0.002044775,0.003156017,0.002754959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514964,"about_ca_system_score_gemma":0.002565223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006591501,"about_ca_topic_score_gemma":0.004928959,"domain_scores_codex":[0.9991181,0.000333174,0.00006050688,0.0001873961,0.0002158467,0.00008499385],"domain_scores_gemma":[0.9940127,0.003991977,0.000220315,0.0005925054,0.0009556536,0.0002269485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001805996,0.0004966391,0.004352483,0.003940959,0.0001772829,0.0001651339,0.0003283752,0.1939801,0.001375102,0.2656021,0.03075534,0.498646],"study_design_scores_gemma":[0.00002345276,0.0001149829,0.001067532,0.002281156,0.00008580783,0.0001475578,0.0006082456,0.5135807,0.001340992,0.3278926,0.1527478,0.0001091947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02013548,0.62168,0.2780338,0.04046316,0.001646077,0.0001276174,0.0009442435,0.001965873,0.03500371],"genre_scores_gemma":[0.2019617,0.6640833,0.1169388,0.002787424,0.003162817,0.0001912628,0.0018233,0.0004212312,0.008630231],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008905119,"threshold_uncertainty_score":0.02979058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299883278304786,"score_gpt":0.2222739525729107,"score_spread":0.2092751197898629,"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."}}