{"id":"W4416757651","doi":"10.1016/j.energy.2025.139474","title":"Transformer-based predictive energy management in hydrogen-integrated renewable systems","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terahertz Technology Solutions (Canada); University of Waterloo","funders":"FedDev Ontario","keywords":"Renewable energy; Model predictive control; Energy management; Energy storage; Intermittent energy source; Power to gas; Production (economics); Efficient energy use","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002803764,0.0004511009,0.000548273,0.0001997253,0.0002588414,0.0006671145,0.0005593376,0.0002979144,0.0006712392],"category_scores_gemma":[0.0004159531,0.0002623799,0.0003199113,0.0003346277,0.0002652091,0.0006086729,0.0003754311,0.0004745948,0.000101279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005496552,"about_ca_system_score_gemma":0.0004950086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104431,"about_ca_topic_score_gemma":0.007439955,"domain_scores_codex":[0.9998616,0.00003191999,0.000006815344,0.00003161929,0.00004934816,0.00001871295],"domain_scores_gemma":[0.9999117,0.00003476117,0.00001674315,0.000008845652,0.00002247167,0.000005523697],"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":[0.00003565524,0.00002081534,0.0002539213,0.00002487265,0.00002052304,0.00003264341,0.00001537723,0.9813899,0.002002918,0.001603842,0.0002126147,0.01438686],"study_design_scores_gemma":[0.000001623209,0.000008268075,0.00005383119,8.057585e-7,0.000002874792,0.000002491865,0.000002109072,0.9992365,0.0003229317,0.0002860334,0.00008114929,0.000001363736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1200763,0.0007988819,0.8699735,0.0002506167,0.00008188808,0.00005337999,0.0001028229,0.0007628548,0.007899893],"genre_scores_gemma":[0.9931785,0.000156158,0.00582521,0.00001811982,0.000006765092,0.00001651129,0.00003122987,0.00001139957,0.000756047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0104431,"threshold_uncertainty_score":0.02076459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006505443393935874,"score_gpt":0.2110883160092168,"score_spread":0.2045828726152809,"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."}}