{"id":"W4307445416","doi":"10.32920/21408585.v1","title":"Value-stack aggregator optimal planning considering disparate DERs technologies","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Independent Electricity System Operator; Toronto Metropolitan University","funders":"","keywords":"News aggregator; Distributed generation; Revenue; Value proposition; Capacity planning; Computer science; Energy planning; Business model; Environmental economics; Business; Net metering; Renewable energy; Economics; Engineering; Marketing; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141435,0.001315724,0.001362306,0.0007380666,0.0006588114,0.002322782,0.001001067,0.001419737,0.004895458],"category_scores_gemma":[0.002081417,0.0008596822,0.0009954567,0.001167981,0.0007845467,0.001130638,0.00119795,0.001254808,0.0003809055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341503,"about_ca_system_score_gemma":0.003003553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0317697,"about_ca_topic_score_gemma":0.02925039,"domain_scores_codex":[0.9994486,0.0002217557,0.00001862868,0.00009208834,0.00009683512,0.0001220936],"domain_scores_gemma":[0.9990585,0.0005763289,0.00008884267,0.0000273217,0.0001646716,0.00008429129],"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":[0.00001147107,0.000006603882,0.00007904676,0.000008717508,0.00000545613,0.00002607546,0.000006336735,0.9965688,0.00005779143,0.001588892,0.0001531288,0.001487602],"study_design_scores_gemma":[0.000004753179,0.00001062657,0.00004171263,0.00000282626,0.000004369072,0.00000309829,0.00001111897,0.9983418,0.00004575168,0.001346367,0.0001846814,0.000002845589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1626335,0.001269442,0.7657533,0.001160513,0.0001378086,0.0004052472,0.001367665,0.0005470647,0.06672554],"genre_scores_gemma":[0.9282563,0.0004695912,0.05827684,0.000127556,0.00002543366,0.0002979959,0.0005172454,0.0000830726,0.01194595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0317697,"threshold_uncertainty_score":0.06316954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234258584941493,"score_gpt":0.2422480279101956,"score_spread":0.2199054420607807,"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."}}