{"id":"W4393332792","doi":"10.1016/j.est.2024.111345","title":"Model-free adaptive optimal control for fast and safe start-up of pumped storage hydropower units","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"PID controller; Overshoot (microwave communication); Control theory (sociology); Model predictive control; Computer science; Controller (irrigation); Energy storage; Control engineering; Power (physics); Process (computing); Nonlinear system; Mathematical optimization; Control (management); Engineering; Temperature control; Mathematics; 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":[0.000314144,0.0001987481,0.0003863674,0.0003218928,0.00003690378,0.00004873068,0.0002033846,0.0000883303,0.00003896098],"category_scores_gemma":[0.00008004333,0.0001856414,0.0001196133,0.0002166835,0.00006108094,0.0004020622,0.00003249619,0.0002206181,8.192885e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644164,"about_ca_system_score_gemma":0.0001083673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005741355,"about_ca_topic_score_gemma":0.00001251406,"domain_scores_codex":[0.9987903,0.00003267565,0.0005342645,0.0001335635,0.0002875792,0.000221601],"domain_scores_gemma":[0.9989635,0.0002400112,0.0001487371,0.0001895206,0.0003108671,0.0001473969],"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":[0.0002163014,0.00002122808,0.000002037609,0.00008469341,0.0003333364,0.0000433557,0.0008573952,0.971495,0.01033142,0.01024915,0.005136308,0.001229711],"study_design_scores_gemma":[0.002010284,0.0003998359,0.00002115365,0.0001191022,0.0001289526,0.00004207724,0.0002948133,0.9844531,0.001347756,0.00164748,0.00931885,0.0002166396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.216056,0.003742667,0.7773036,0.0001183181,0.001238029,0.0001186287,0.0003319043,0.00005612294,0.001034769],"genre_scores_gemma":[0.9943104,0.0000964963,0.004474727,0.00003839271,0.0002245198,0.000009267634,0.000005822304,0.00006503145,0.0007753135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7782544,"threshold_uncertainty_score":0.7570237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157188453537889,"score_gpt":0.2219687481852138,"score_spread":0.2062499028314249,"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."}}