1 |
Developing a multi-objective framework for expansion planning studies of distributed energy storage systems (DESSs) Saber H, Moeini-Aghtaie M, Ehsan M Energy, 157, 1079, 2018 |
2 |
Dynamic pricing for responsive demand to increase distribution network efficiency Gu CH, Yan XH, Yan Z, Li FR Applied Energy, 205, 236, 2017 |
3 |
Improving the Performance of Network Congestion Control Algorithms Zhang X, Papachristodoulou A IEEE Transactions on Automatic Control, 60(2), 522, 2015 |
4 |
Risk constrained short-term scheduling with dynamic line ratings for increased penetration of wind power Banerjee B, Jayaweera D, Islam S Renewable Energy, 83, 1139, 2015 |
5 |
Stochastic observability in network state estimation and control Liu AR, Bitmead RR Automatica, 47(1), 65, 2011 |
6 |
Phasing in wind-power in Norway: Network congestion and crowding-out of hydropower Forsund FR, Singh B, Jensen T, Larsen C Energy Policy, 36(9), 3514, 2008 |
7 |
Modelling TCP congestion control dynamics in drop-tail environments Shorten R, King C, Wirth F, Leith D Automatica, 43(3), 441, 2007 |
8 |
A unifying passivity framework for network flow control Wen JT, Arcak M IEEE Transactions on Automatic Control, 49(2), 162, 2004 |
9 |
Pricing and congestion management in a network with heterogeneous users Stidham S IEEE Transactions on Automatic Control, 49(6), 976, 2004 |