{"id":"W4415744298","doi":"10.1109/ihtc65087.2025.11216301","title":"Time-Series Data Generation to Support Energy Planning in Remote Microgrids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University","funders":"","keywords":"Data collection; Process (computing); Univariate; Baseline (sea); Missing data; Energy (signal processing); Electricity generation; Power (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":[0.001361096,0.0005897583,0.0003207698,0.001390841,0.000265116,0.000651892,0.0007439537,0.0004547724,0.001740064],"category_scores_gemma":[0.005641365,0.0001993161,0.0004098272,0.002210879,0.0002188042,0.001093365,0.0006409467,0.00078161,0.000457612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315953,"about_ca_system_score_gemma":0.0005465981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006361415,"about_ca_topic_score_gemma":0.009956276,"domain_scores_codex":[0.9995541,0.0001958966,0.00003565355,0.00008832161,0.0000999734,0.00002604902],"domain_scores_gemma":[0.997775,0.001085632,0.0002268517,0.0004411055,0.0003897363,0.00008161607],"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":[0.000317766,0.000336039,0.03498234,0.0002854912,0.0002352382,0.0004156365,0.0002063041,0.7810084,0.004844666,0.01106491,0.01551797,0.1507852],"study_design_scores_gemma":[0.00003034062,0.00008771986,0.01235638,0.00004339132,0.00002976905,0.00005506971,0.000227084,0.9639677,0.003276211,0.01092182,0.008979401,0.00002509686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3436857,0.0006088521,0.5948546,0.002792124,0.0005052768,0.0006690474,0.03913774,0.006276454,0.01147027],"genre_scores_gemma":[0.8656748,0.0002815766,0.1160482,0.00009113521,0.00008431708,0.0002000186,0.01665468,0.0001462622,0.0008190316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006361415,"threshold_uncertainty_score":0.01264882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159954953848091,"score_gpt":0.2670812424515635,"score_spread":0.2454816929130826,"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."}}