{"id":"W2760172647","doi":"10.1109/sege.2017.8052783","title":"Economic analysis of residential solar microgrids","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Microgrid; Photovoltaic system; Net metering; Battery (electricity); Renewable energy; Consumption (sociology); Electricity; Computer science; Automotive engineering; Environmental economics; Economics; Power (physics); Distributed generation; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007980332,0.00006334361,0.0001526495,0.0001697986,0.00004779131,0.00005335857,0.000266953,0.00002563644,0.0005436955],"category_scores_gemma":[0.00000435924,0.00006608909,0.0001064998,0.00003571267,0.00002467707,0.0001078541,0.0000759114,0.00002605776,0.00006414865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003391393,"about_ca_system_score_gemma":0.000003319822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005616948,"about_ca_topic_score_gemma":0.001453943,"domain_scores_codex":[0.9996144,0.000003565995,0.0001412982,0.0000897878,0.00004539833,0.000105595],"domain_scores_gemma":[0.9993666,0.000006904133,0.00003262251,0.0005623955,0.000006449483,0.00002499013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000002750558,0.000007095949,0.02652033,0.00001479008,0.002505924,0.000003058278,0.00002707764,0.9549713,0.002257443,0.001472656,0.01072701,0.001490599],"study_design_scores_gemma":[0.0002406974,0.000009542083,0.5502412,0.000004063716,0.000901166,2.514192e-7,0.00002253003,0.3927421,0.03963119,0.00005609868,0.0159502,0.0002009925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287474,0.00004311586,0.006642063,0.00005437672,0.0007020216,0.00003469995,0.000006134813,0.000109379,0.06366085],"genre_scores_gemma":[0.99853,0.00004506373,0.0006292855,0.000006621402,0.00008201937,0.000002765975,0.000005402896,0.00001042158,0.0006884643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5622292,"threshold_uncertainty_score":0.5953084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007156466980012376,"score_gpt":0.2161059470554516,"score_spread":0.2089494800754392,"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."}}