{"id":"W2949587434","doi":"10.1145/3307772.3331032","title":"Adaptive Battery Control with Neural Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Controller (irrigation); Computer science; Battery (electricity); Model predictive control; Context (archaeology); Artificial neural network; Control (management); Adaptive control; Control 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003053419,0.00009979316,0.0001003624,0.00002991076,0.00000963126,0.00001684357,0.00007542341,0.00002379609,0.000351269],"category_scores_gemma":[4.600196e-7,0.00007665126,0.00001981996,0.00006816735,0.000007977704,0.00008604203,0.00001401637,0.00007430048,0.0001323541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002390365,"about_ca_system_score_gemma":0.000001207317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001029828,"about_ca_topic_score_gemma":0.0000161692,"domain_scores_codex":[0.9995537,0.000006972181,0.00006900945,0.0001021367,0.00007884268,0.0001893253],"domain_scores_gemma":[0.9997482,0.00002592218,0.00000713404,0.0001741832,0.000009474666,0.00003506584],"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":[0.0000132002,0.000002786967,0.003363323,0.000003579654,0.00005969683,0.000004710811,0.000006576603,0.9918711,0.00001624806,0.0005312769,0.003599658,0.0005278242],"study_design_scores_gemma":[0.0005171604,0.00005196949,0.008412449,0.000004728975,0.00001016608,0.000001915361,0.00002422743,0.9887847,0.0000314547,0.000003441958,0.002036671,0.0001211251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242491,0.0000903453,0.6067334,0.0001582328,0.001325219,0.0003345595,0.000001040515,0.0008704296,0.1479958],"genre_scores_gemma":[0.9980507,0.000002284655,0.0002956965,0.0004126431,0.0001259199,0.00001525945,0.000001849861,0.00002607097,0.001069594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7555597,"threshold_uncertainty_score":0.3846149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003091477496063135,"score_gpt":0.1404428720726296,"score_spread":0.1373513945765664,"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."}}