{"id":"W2997151497","doi":"10.3390/en13010098","title":"Flexibility from Electric Boiler and Thermal Storage for Multi Energy System Interaction","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Aalborg Universitet","keywords":"Thermal energy storage; Flexibility (engineering); Electricity; Demand response; Peak demand; Process engineering; Computer science; Automotive engineering; Environmental science; Engineering; Electrical engineering","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":[0.00008197485,0.0001586515,0.0001849092,0.00009250629,0.00003890019,0.00005034856,0.00007178367,0.0001210065,0.00002183594],"category_scores_gemma":[0.00001223485,0.0001455513,0.00004357197,0.00009989893,0.000007608439,0.0002319345,0.00001274087,0.00007212363,0.00001121462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700317,"about_ca_system_score_gemma":0.00000994506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007415994,"about_ca_topic_score_gemma":0.0000893078,"domain_scores_codex":[0.999285,0.00003783326,0.0002203277,0.0002072788,0.00007651842,0.0001730543],"domain_scores_gemma":[0.9995899,0.00007080725,0.0000460129,0.0002034512,0.00005848986,0.00003139591],"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":[0.00002039375,0.000007073836,0.0001057469,0.00006094256,0.00005397086,5.299979e-7,0.0001631817,0.9116059,0.08371296,0.0023982,0.0001543293,0.001716794],"study_design_scores_gemma":[0.0003183601,0.00002453397,0.0004022024,0.00004797602,0.00001261218,0.000001825714,0.0002943283,0.9178009,0.07810306,0.000006996482,0.002825255,0.0001619408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567535,0.0006640885,0.03901926,0.000003697333,0.001262623,0.0001186757,0.0000161401,0.0005154284,0.001646624],"genre_scores_gemma":[0.9968135,0.00002537358,0.00214885,0.000009806027,0.0001482275,0.00007382612,0.0000678823,0.00004677674,0.0006657411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04006005,"threshold_uncertainty_score":0.5935408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079440683326225,"score_gpt":0.2108854239562747,"score_spread":0.2000910171230124,"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."}}