{"id":"W2954685229","doi":"10.1049/joe.2018.9354","title":"Dynamic average modelling of renewable generation sources for real time simulation","year":2019,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Computer science; Real-time simulation; Renewable energy; Hardware-in-the-loop simulation; Grid; Smart grid; Computation; Real-time computing; Dynamic simulation; Dynamic demand; Simulation; Power (physics); Embedded system; Electrical engineering; Engineering","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":[0.0001879552,0.0004627712,0.00057532,0.0003898731,0.0002484693,0.0009427979,0.0008685522,0.0006140642,0.003320219],"category_scores_gemma":[0.0007567645,0.0002507216,0.0006379262,0.0005630592,0.0002564366,0.0008480424,0.0004254711,0.000602607,0.0006185359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005025508,"about_ca_system_score_gemma":0.0004861794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823721,"about_ca_topic_score_gemma":0.003853128,"domain_scores_codex":[0.9998276,0.00004082681,0.000009505305,0.00002899835,0.0000759902,0.00001692718],"domain_scores_gemma":[0.9998196,0.00007963277,0.00002669786,0.00002104066,0.00004322174,0.000009765826],"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":[0.0000129247,0.000007803887,0.0001276779,0.00003249772,0.00001072662,0.00002945221,0.00002304067,0.9814587,0.002274896,0.008850282,0.0003488338,0.006823001],"study_design_scores_gemma":[0.000001319812,0.000006155897,0.00004712911,0.000002495537,0.00000233752,0.00000930019,0.000002530949,0.9972365,0.0002984057,0.001332463,0.001059296,0.000002172898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02272435,0.000442225,0.9561781,0.0001379105,0.00009713875,0.00004080318,0.000292536,0.0006550812,0.01943181],"genre_scores_gemma":[0.9192998,0.001085002,0.06414296,0.00007791035,0.00007239252,0.0002170892,0.0004889098,0.0002273787,0.01438846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004823721,"threshold_uncertainty_score":0.01110721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092903543272362,"score_gpt":0.2019244925781188,"score_spread":0.1909954571453952,"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."}}