1 |
Multi-objective optimization of a neighborhood-level urban energy network: Considering Game-theory inspired multi-benefit allocation constraints Jing R, Wang M, Liang H, Wang XN, Li N, Shah N, Zhao YR Applied Energy, 231, 534, 2018 |
2 |
Energy integration of CO2 networks and power to gas for emerging energy autonomous cities in Europe Suciu R, Girardin L, Marechal F Energy, 157, 830, 2018 |
3 |
Power-to-gas in a smart city context - Influence of network restrictions and possible solutions using on-site storage and model predictive controls Fischer D, Kaufmann F, Selinger-Lutz O, Voglstatter C International Journal of Hydrogen Energy, 43(20), 9483, 2018 |
4 |
Benefit allocation for distributed energy network participants applying game theory based solutions Wu Q, Ren HB, Gao WJ, Ren JX Energy, 119, 384, 2017 |
5 |
Energy network dispatch optimization under emergency of local energy shortage with web tool for automatic large group decision-making Xiang L Energy, 120, 740, 2017 |
6 |
Profit allocation analysis among the distributed energy network participants based on Game-theory Wu Q, Ren HB, Gao WJ, Ren JX, Lao CS Energy, 118, 783, 2017 |
7 |
Optimal design of renewable energy systems with flexible inputs and outputs using the P-graph framework Szlama A, Heckl I, Cabezas H AIChE Journal, 62(4), 1143, 2016 |
8 |
Multi-objective optimization of a distributed energy network integrated with heating interchange Wu Q, Ren HB, Gao WJ, Ren JX Energy, 109, 353, 2016 |
9 |
Transformer-less 3P3W SAPF (three-phase three-wire shunt active power filter) with line-interactive UPS (uninterruptible power supply) and battery energy storage stage Tareen WU, Mekhilef S Energy, 109, 525, 2016 |
10 |
Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy Maroufmashat A, Fowler M, Khavas SS, Elkamel A, Roshandel R, Hajimiragha A International Journal of Hydrogen Energy, 41(19), 7700, 2016 |