화학공학소재연구정보센터
검색결과 : 338건
No. Article
1 Laboratory study on the thermal performance of vertical U-tube ground heat exchanger during short-term borehole thermal energy storage (BTES) and heat extraction process
Wang R, Ni L, Yang CL, Yao Y
International Journal of Energy Research, 45(2), 2043, 2021
2 Nucleation and growth of cholesteric collagen tactoids: A time-series statistical analysis based on integration of direct numerical simulation (DNS) and long short-term memory recurrent neural network (LSTM-RNN)
Khadem SA, Rey AD
Journal of Colloid and Interface Science, 582, 859, 2021
3 머신 러닝과 데이터 전처리를 활용한 증류탑 온도 예측
이예찬, 최영렬, 조형태, 김정환
Korean Chemical Engineering Research, 59(2), 191, 2021
4 Deep-learning modeling and control optimization framework for intelligent thermal power plants: A practice on superheated steam temperature
Wang Q, Pan L, Lee KY, Wu Z
Korean Journal of Chemical Engineering, 38(10), 1983, 2021
5 Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Hassan MA, Bailek N, Bouchouicha K, Nwokolo SC
Renewable Energy, 171, 191, 2021
6 Renewable electricity generation proposed pathways for the US and China
Ameyaw B, Li Y, Ma YK, Agyeman JK, Appiah-Kubi J, Annan A
Renewable Energy, 170, 212, 2021
7 Modeling and predicting the electricity production in hydropower using conjunction of wavelet transform, long short-term memory and random forest models
Zolfaghari M, Golabi MR
Renewable Energy, 170, 1367, 2021
8 Global oceanic wave energy resource dataset-with the Maritime Silk Road as a case study
Zheng CW
Renewable Energy, 169, 843, 2021
9 Analysis of short-term operational forecast deviations and controllability of utility-scale photovoltaic plants
Keeratimahat K, Bruce A, MacGill I
Renewable Energy, 167, 343, 2021
10 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