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머신 러닝과 데이터 전처리를 활용한 증류탑 온도 예측 이예찬, 최영렬, 조형태, 김정환 Korean Chemical Engineering Research, 59(2), 191, 2021 |
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A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections Liu H, Yang R, Wang TT, Zhang L Renewable Energy, 165, 573, 2021 |
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A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations Liu TX, Zhao QJ, Wang JZ, Gao YY Renewable Energy, 163, 88, 2021 |
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A combined model based on data preprocessing strategy and multi-objective Chock far optimization algorithm for short-term wind speed forecasting Niu XS, Wang JY Applied Energy, 241, 519, 2019 |
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Moving second generation biofuel manufacturing forward: Investigating economic viability and environmental sustainability considering two. strategies for supply chain restructuring Kesharwani R, Sun ZY, Dagli C, Xiong HY Applied Energy, 242, 1467, 2019 |
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Learning and predicting operation strategies by sequence mining and deep learning Dorgo G, Abonyi J Computers & Chemical Engineering, 128, 174, 2019 |
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Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system Zhao XJ, Wang C, Su JX, Wang JZ Renewable Energy, 134, 681, 2019 |
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A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting Song JJ, Wang JZ, Lu HY Applied Energy, 215, 643, 2018 |
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In-depot upgrading the quality of fuel chips for a commercial gasification plant Oveisi E, Sokhansanj S, Lau A, Lim CJ, Bi X, Ebadian M, Preto F, Mui C, Gill R Biomass & Bioenergy, 108, 138, 2018 |
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Capillary electrophoresis in association with chemometrics approach for bitterness hop (Humulus lupulus L.) classification Duarte LM, Adriano LHC, de Oliveira MAL Electrophoresis, 39(11), 1399, 2018 |