{"id":"W3160287023","doi":"10.3390/en14102851","title":"Using Thermal Energy Storage to Relieve Wind Generation Curtailment in an Island Microgrid","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Microgrid; Wind power; Intermittency; Thermal energy storage; Flexibility (engineering); Distributed generation; Energy storage; Grid; Automotive engineering; Electricity generation; Reliability engineering; Engineering; Environmental science; Computer science; Power (physics); Renewable energy; Electrical engineering; Meteorology","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":[0.00004990774,0.0001166724,0.0001206585,0.00008098219,0.00004015498,0.00007976531,0.00005932191,0.0000565266,0.00006471432],"category_scores_gemma":[0.000004679532,0.0001237682,0.00002564073,0.0001640935,0.000006298705,0.000175008,0.00002366598,0.00005138067,0.000003276042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007295526,"about_ca_system_score_gemma":0.00002438214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008036533,"about_ca_topic_score_gemma":0.001088238,"domain_scores_codex":[0.9993762,0.00003716142,0.0001607454,0.0001659569,0.00008106109,0.0001788497],"domain_scores_gemma":[0.9997366,0.000006896424,0.00001481698,0.0001572662,0.00003877655,0.00004565823],"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":[0.000003316264,0.00001089432,0.0001268043,0.000002791869,0.00000664814,0.00001166851,0.0002738055,0.6208389,0.3749297,0.00005449322,0.0001626492,0.003578401],"study_design_scores_gemma":[0.0004070272,0.00002582132,0.0007747682,0.0000200591,0.00001127069,0.000006151694,0.000125311,0.8045711,0.1826859,0.00001094676,0.01110938,0.0002522233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890286,0.003244178,0.007007909,0.00004348504,0.0003712208,0.00003951185,0.000007022079,0.00007082798,0.0001872561],"genre_scores_gemma":[0.9929811,0.0002980337,0.005961056,0.0001448554,0.000399425,0.000008155222,0.00008555242,0.00002944876,0.00009231928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1922437,"threshold_uncertainty_score":0.504712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390449620848058,"score_gpt":0.2163448271670333,"score_spread":0.2024403309585527,"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."}}