| 1 |
Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation
Wang W, Jing ST, Sun Y, Liu JZ, Niu YG, Zeng DL, Cui C
Energy, 169, 988, 2019 |
| 2 |
Cooperative controls of micro gas turbine and super capacitor hybrid power generation system for pulsed power load
Duan JD, Liu JJ, Xiao Q, Fan SG, Sun L, Wang GL
Energy, 169, 1242, 2019 |
| 3 |
Model predictive control for load frequency of hybrid power system with wind power and thermal power
Liu JZ, Yao Q, Hu Y
Energy, 172, 555, 2019 |
| 4 |
Comparison of Virtual Oscillator and Droop Controlled Islanded Three-Phase Microgrids
Shi Z, Li JC, Nurdin HI, Fletcher JE
IEEE Transactions on Energy Conversion, 34(4), 1769, 2019 |
| 5 |
Power load probability density forecasting using Gaussian process quantile regression
Yang YD, Li SF, Li WQ, Qu MJ
Applied Energy, 213, 499, 2018 |
| 6 |
Multi-time period optimized configuration and scheduling of gas storage in gas-fired power plants
Qiao Z, Guo QL, Sun HB, Sheng TT
Applied Energy, 226, 924, 2018 |
| 7 |
Stability analysis of DC microgrids with constant power load under distributed control methods
Liu ZJ, Su M, Sun Y, Han H, Hou XC, Guerrero JM
Automatica, 90, 62, 2018 |
| 8 |
A deep learning model for short-term power load and probability density forecasting
Guo ZF, Zhou KL, Zhang XL, Yang SL
Energy, 160, 1186, 2018 |
| 9 |
Experimental study on a stove-powered thermoelectric generator (STEG) with self starting fan cooling
Li GN, Zhang S, Zheng YQ, Zhu LY, Guo WW
Renewable Energy, 121, 502, 2018 |
| 10 |
Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory
He YY, Liu R, Li HY, Wang S, Lu XF
Applied Energy, 185, 254, 2017 |
