1 |
Network overloading management by exploiting the in-system batteries of electric vehicles Rehman U, Feng DH, Su H, Numan M, Abbas F International Journal of Energy Research, 45(4), 5866, 2021 |
2 |
Stochastic model predictive control operation strategy of integrated energy system based on temperature-flowrate scheduling model considering detailed thermal characteristics Wei SS, Li YG, Sun L, Zhang JL, Shen J, Li ZY International Journal of Energy Research, 45(3), 4081, 2021 |
3 |
Pontryagin's Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus Xie SB, Hu XS, Xin ZK, Brighton J Applied Energy, 236, 893, 2019 |
4 |
Aquifer Thermal Energy Storage (ATES) smart grids: Large-scale seasonal energy storage as a distributed energy management solution Rostampour V, Jaxa-Rozen M, Bloemendal M, Kwakkel J, Keviczky T Applied Energy, 242, 624, 2019 |
5 |
Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid Zhang Y, Meng FL, Wang R, Kazemtabrizi B, Shi JM Energy, 179, 1265, 2019 |
6 |
Swarm intelligence-based distributed stochastic model predictive control for transactive operation of networked building clusters Chen Y, Hu MQ Energy and Buildings, 198, 207, 2019 |
7 |
A data-driven robust optimization approach to scenario-based stochastic model predictive control Shang C, You FQ Journal of Process Control, 75, 24, 2019 |
8 |
Risk-averse stochastic model predictive control-based real-time operation method for a wind energy generation system supported by a pumped hydro storage unit Yildiran U, Kayahan I Applied Energy, 226, 631, 2018 |
9 |
An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses Xie SS, He HW, Peng JK Applied Energy, 196, 279, 2017 |
10 |
Stochastic MPC with offline uncertainty sampling Lorenzen M, Dabbene F, Tempo R, Allgower F Automatica, 81, 176, 2017 |