{"id":"W4416269487","doi":"10.1016/j.esr.2025.101967","title":"On the Value of Saved Power in net-zero North-Eastern America","year":2025,"lang":"en","type":"article","venue":"Energy Strategy Reviews","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Institut de Valorisation des Données; Canada First Research Excellence Fund","keywords":"Marginal cost; Value (mathematics); Electricity; Power (physics); Order (exchange); Electricity generation; Marginal value; Average cost; Electric power system; Marginal utility","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":[0.0006241315,0.0004181072,0.0002798172,0.0005783262,0.0004287979,0.001935365,0.0007701405,0.0007087614,0.003831269],"category_scores_gemma":[0.004466857,0.0002585107,0.0003794992,0.001194656,0.001236904,0.001388333,0.0007230903,0.0007626023,0.0001524827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002927396,"about_ca_system_score_gemma":0.0008955922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0420866,"about_ca_topic_score_gemma":0.04604331,"domain_scores_codex":[0.9997656,0.00009558734,0.000007264827,0.00003668396,0.00004639459,0.00004854101],"domain_scores_gemma":[0.9985953,0.000981744,0.0001072423,0.00006978674,0.0001840169,0.00006189151],"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":[0.00004184037,0.00002322041,0.006420729,0.00003665046,0.00002284614,0.0001521265,0.00009654433,0.9465752,0.0002811963,0.0408947,0.001105856,0.004349082],"study_design_scores_gemma":[0.00001443252,0.00004762413,0.009104038,0.00007707324,0.0000252985,0.0001119784,0.000574122,0.9498598,0.0005519511,0.03500567,0.004595513,0.00003249303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249061,0.0004629584,0.01414011,0.001582318,0.00004550868,0.00002010569,0.00158437,0.00008511731,0.05717338],"genre_scores_gemma":[0.9946398,0.0001549352,0.002364487,0.00007378546,0.000004899603,0.0000116819,0.0002902828,0.00002576721,0.00243436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9579134,"threshold_uncertainty_score":0.08368325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043293925647573,"score_gpt":0.2208966098933758,"score_spread":0.2104636706369,"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."}}