{"id":"W2612184988","doi":"10.1109/icit.2017.7913270","title":"Generation reliability assessment of stand-alone hybrid power system — A case study","year":2017,"lang":"en","type":"article","venue":"","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reliability engineering; Renewable energy; Sizing; Reliability (semiconductor); Electric power system; Electricity generation; Hybrid system; Computer science; Probabilistic logic; Wind power; Grid; Electricity; Engineering; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430721,0.0005450966,0.0004089273,0.0006786718,0.0004102226,0.0005874859,0.0004962641,0.0007272901,0.0008614751],"category_scores_gemma":[0.00103924,0.000215056,0.0004786046,0.0004560596,0.0003441033,0.0004020195,0.0003130032,0.0003050443,0.0001067458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006428494,"about_ca_system_score_gemma":0.000314256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007982914,"about_ca_topic_score_gemma":0.008596248,"domain_scores_codex":[0.9996566,0.0001675191,0.00001369966,0.00003407646,0.00008476299,0.00004341272],"domain_scores_gemma":[0.9989622,0.0006507779,0.00009920372,0.00006145218,0.00018088,0.00004555863],"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":[0.0002340302,0.0001740009,0.01310461,0.0001230808,0.00008310072,0.002774263,0.000152845,0.964116,0.004927407,0.001291552,0.0006620305,0.01235704],"study_design_scores_gemma":[0.00002493729,0.0004797735,0.007777977,0.00001014304,0.00004200776,0.0004625662,0.0001807623,0.9876352,0.002196752,0.0007409891,0.0004328595,0.00001595238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806737,0.0002624083,0.01482334,0.0001001801,0.00000869755,0.00008326949,0.0001865643,0.0001005453,0.003761329],"genre_scores_gemma":[0.9979966,0.00005011938,0.001381533,0.000003447357,0.000003562668,0.00001086509,0.00003635335,0.000004366346,0.0005131073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007982914,"threshold_uncertainty_score":0.0158729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115617433467035,"score_gpt":0.2987941273752081,"score_spread":0.2676379530405377,"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."}}