{"id":"W4402891799","doi":"10.1016/j.enconman.2024.118963","title":"Digital-PV: A digital twin-based platform for autonomous aerial monitoring of large-scale photovoltaic power plants","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Photovoltaic system; Scale (ratio); Power (physics); Environmental science; Engineering; Computer science; Electrical engineering; Remote sensing; Automotive engineering; Geography; Cartography; Physics","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":[0.0003287811,0.0004715947,0.0002821282,0.0004634009,0.0001713193,0.0005431168,0.001049482,0.0003597462,0.006053874],"category_scores_gemma":[0.0007448802,0.0002391588,0.0003677827,0.0003197335,0.000240323,0.0008798653,0.0009776303,0.0005955716,0.001329735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392074,"about_ca_system_score_gemma":0.0004180016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676922,"about_ca_topic_score_gemma":0.00206728,"domain_scores_codex":[0.999787,0.00002410024,0.00001163286,0.00006541485,0.00008319718,0.00002861488],"domain_scores_gemma":[0.9997538,0.00004975878,0.00002634451,0.00006560765,0.00005380023,0.00005079838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002662152,0.0006554321,0.01496627,0.0009645567,0.0002848399,0.001100317,0.000778523,0.2321588,0.2420739,0.01216266,0.05914997,0.4330426],"study_design_scores_gemma":[0.0002258049,0.0004057974,0.006852467,0.00003148106,0.00005370707,0.000339615,0.0001119981,0.8658957,0.07135645,0.003961625,0.05068812,0.00007725915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1672832,0.0003221103,0.7345495,0.0002325922,0.0002061344,0.000488707,0.00452506,0.07424475,0.01814797],"genre_scores_gemma":[0.7717599,0.000194924,0.2104965,0.0001500652,0.00002316708,0.0002824951,0.008075118,0.001779752,0.007238116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006053874,"threshold_uncertainty_score":0.02025217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009708246799676237,"score_gpt":0.2305196119952733,"score_spread":0.2208113651955971,"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."}}