Optimal Bidding Strategy of a Plug-In Electric Vehicle Aggregator in Day-Ahead Electricity Markets Under Uncertainty

By M. González Vayá, Göran Andersson. IEEE Transactions on Power Systems, 2015

292 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5c17dc91de47c7ffe59adfd7c8adcd94567a88b3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. ShengWei Mei
2. Wei Wei
3. Jianhui Wang
4. Lei Wu

In Electrical and Electronic Engineering

1. Wei Wei
2. ShengWei Mei
3. Jianhui Wang
4. Lei Wu
5. Mohammad Shahidehpour
6. Feng Liu
7. Antonio J. Conejo
8. Malcolm Duncan McCulloch

Citations in the corpus

• Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning (2019, unknown): “In [9] and [10], EV fleet was formulated as a probabilistic virtual battery model, and scenario-based robust approaches were proposed to deal with the uncertainty of the EV users’ commuting behavior and the balancing requests.”
• Network Equilibrium of Coupled Transportation and Power Distribution Systems (2018, background): “A similar problem is considered in [19] by incorporating the market power of an aggregator, and is formulated”