| 1 |
머신 러닝과 데이터 전처리를 활용한 증류탑 온도 예측
이예찬, 최영렬, 조형태, 김정환
Korean Chemical Engineering Research, 59(2), 191, 2021 |
| 2 |
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 |
| 3 |
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 |
| 4 |
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 |
| 5 |
Learning and predicting operation strategies by sequence mining and deep learning
Dorgo G, Abonyi J
Computers & Chemical Engineering, 128, 174, 2019 |
| 6 |
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 |
| 7 |
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 |
| 8 |
Performance assessment of photovoltaic modules based on daily energy generation estimation
Wang JY, Qian Z, Zareipour H, Wood D
Energy, 165, 1160, 2018 |
| 9 |
Chemometric analysis of composition of bio-crude and aqueous phase from hydrothermal liquefaction of thermally and chemically pretreated Miscanthus x giganteus
Madsen RB, Lappa E, Christensen PS, Jensen MM, Klemmer M, Becker J, Iversen BB, Glasius M
Biomass & Bioenergy, 95, 137, 2016 |
| 10 |
A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting
Azimi R, Ghayekhloo M, Ghofrani M
Energy Conversion and Management, 118, 331, 2016 |
