{"id":"W4387475923","doi":"10.1109/sege59172.2023.10274535","title":"Strategic Prosumer-Side Energy Trading Using A Parameter Independent Convex Model: From A Discussion Toward A Case Study","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Université Laval","funders":"","keywords":"Prosumer; Profit (economics); Computer science; Regular polygon; Renewable energy; Scalability; Energy management; Profit model; Operations research; Mathematical optimization; Industrial organization; Environmental economics; Business; Energy (signal processing); Microeconomics; Economics; Engineering; Mathematics","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":[0.000175933,0.0003199992,0.0003132886,0.0002700689,0.00009344895,0.0001463812,0.0001787646,0.00008945723,0.00007319727],"category_scores_gemma":[0.000006440736,0.0002335835,0.00009161297,0.0004565285,0.00001718084,0.0002287997,0.0001589942,0.0001631136,0.00001987503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890473,"about_ca_system_score_gemma":0.00002649478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002815889,"about_ca_topic_score_gemma":0.0009727593,"domain_scores_codex":[0.9982578,0.00005462779,0.0003902083,0.0004566311,0.0003691496,0.0004715752],"domain_scores_gemma":[0.9993325,0.00005123417,0.00003539607,0.0004165836,0.00001723171,0.0001470349],"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":[0.000009471516,0.00008247224,0.0005972457,0.00002430145,0.0002307396,0.003115747,0.001838212,0.9907127,0.00168056,0.0002616371,0.0001993922,0.001247528],"study_design_scores_gemma":[0.0006356963,0.00004595944,0.0001376282,0.00002458431,0.00008781331,0.00006202463,0.009066436,0.9875054,0.0006765745,0.001353513,0.00003921823,0.0003651762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352649,0.00002207088,0.06170214,0.00003973359,0.0004525673,0.0003049278,0.000007733874,0.00115962,0.00104626],"genre_scores_gemma":[0.9977759,0.000008321431,0.001513741,0.00003567226,0.0001047398,0.0001385119,0.00001788404,0.00009628978,0.000308912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06251097,"threshold_uncertainty_score":0.952526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0789425799477115,"score_gpt":0.2689935874096079,"score_spread":0.1900510074618964,"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."}}