Prosumer bidding and scheduling in electricity markets

By S. Ø. Ottesen, Asgeir Tomasgard, Stein-Erik Fleten. 2016

157 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/543e379fdcb951e78823c93bdb66dc7e4eb34804

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Pablo Hernandez-Leal
2. Zita A. Vale
3. Timon Rabczuk
4. Shahaboddin Shamshirband
5. Amir Mosavi
6. Xiaoying Zhuang

Citations in the corpus

• State of the Art of Machine Learning Models in Energy Systems, a Systematic Review (2019, methodology): “2016 Ottesen [68] Energy Total cost minimization in energy systems for the prosumers’ buildings”
• Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems (2019, background): “[16] proposed a model for an aggregator that can sell and buy electricity on behalf of a group of prosumers in a”
• Local electricity market designs for peer-to-peer trading: The role of battery flexibility (2018, unknown): “Ottesen et al. (2016) consider the perspective of an aggregator providing flexibility services to the broader grid.”