1 |
Integrating dynamic neural network models with principal component analysis for adaptive model predictive control Hassanpour H, Corbett B, Mhaskar P Chemical Engineering Research & Design, 161, 26, 2020 |
2 |
Deep learning methods and applications for electrical power systems: A comprehensive review Ozcanli AK, Yaprakdal F, Baysal M International Journal of Energy Research, 44(9), 7136, 2020 |
3 |
Data driven NARMAX modeling for PEMFC air compressor Deng ZH, Chen QH, Zhang LY, Fu ZC International Journal of Hydrogen Energy, 45(39), 20321, 2020 |
4 |
A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network Osarogiagbon A, Muojeke S, Venkatesan R, Khan F, GillardCentre P Process Safety and Environmental Protection, 142, 126, 2020 |
5 |
Ant-Lion Optimizer algorithm and recurrent neural network for energy management of micro grid connected system Roy K, Mandal KK, Mandal AC Energy, 167, 402, 2019 |
6 |
Dynamic modeling of NOx emission in a 660 MW coal-fired boiler with long short-term memory Tan P, He B, Zhang C, Rao DB, Li SN, Fang QY, Chen G Energy, 176, 429, 2019 |
7 |
Chaotic dynamics applied in time prediction of photovoltaic production Bazine H, Mabrouki M Renewable Energy, 136, 1255, 2019 |
8 |
A novel framework for wind speed prediction based on recurrent neural networks and support vector machine Yu CJ, Li YL, Bao YL, Tang HJ, Zhai GH Energy Conversion and Management, 178, 137, 2018 |
9 |
A new recursive neural network algorithm to forecast electricity price for PJM day-ahead market Mandal P, Srivastava AK, Senjyu T, Negnevitsky M International Journal of Energy Research, 34(6), 507, 2010 |
10 |
Data-driven prediction model of indoor air quality in an underground space Kim MH, Kim YS, Lim JJ, Kim JT, Sung SW, Yoo CK Korean Journal of Chemical Engineering, 27(6), 1675, 2010 |