{"id":"W2507548848","doi":"10.1109/tsg.2016.2608281","title":"Energy Management in a Network of Grid-Connected Microgrids/Nanogrids Using Compromise Programming","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Grid; Computer science; Electricity; Mathematical optimization; Electrical engineering; Engineering; Mathematics","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":[0.001132762,0.001039796,0.001306535,0.0005388868,0.0006286977,0.002648296,0.001639698,0.001736578,0.003059813],"category_scores_gemma":[0.002223268,0.0007233408,0.0009758631,0.000982738,0.0009910605,0.00250783,0.002143952,0.00145625,0.0003585753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797162,"about_ca_system_score_gemma":0.001095462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003109583,"about_ca_topic_score_gemma":0.002838034,"domain_scores_codex":[0.9992362,0.0003305008,0.0000286162,0.0001737001,0.0001555598,0.00007538925],"domain_scores_gemma":[0.9994419,0.0003121833,0.0000938722,0.00002888341,0.00007221138,0.00005097007],"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":[0.00001931408,0.00001010748,0.0001105624,0.00001709262,0.00001627146,0.00004505704,0.00001878669,0.9885762,0.0002161768,0.008475321,0.0001622445,0.002332763],"study_design_scores_gemma":[0.000004920062,0.00001324109,0.00002746088,0.000004122223,0.000004418504,0.000008227202,0.000009910149,0.9942437,0.000065974,0.005301239,0.0003138071,0.000002938332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03167473,0.000330668,0.9562606,0.0005666261,0.00004271321,0.0000728044,0.0001126414,0.0001322697,0.01080692],"genre_scores_gemma":[0.8886869,0.0006335891,0.09706484,0.000176572,0.00004401593,0.0003471136,0.0001493931,0.00009385579,0.01280375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003109583,"threshold_uncertainty_score":0.01303935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730518272661516,"score_gpt":0.193420953555726,"score_spread":0.1846904352830645,"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."}}