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Algorithmic Bidding for Virtual Trading in Electricity Markets
v1v2 (latest)

Algorithmic Bidding for Virtual Trading in Electricity Markets

8 February 2018
Sevi Baltaoglu
L. Tong
Qing Zhao
ArXiv (abs)PDFHTML

Papers citing "Algorithmic Bidding for Virtual Trading in Electricity Markets"

9 / 9 papers shown
Learn to Bid as a Price-Maker Wind Power Producer
Learn to Bid as a Price-Maker Wind Power Producer
Shobhit Singhal
Marta Fochesato
Liviu Aolaritei
Florian Dorfler
469
1
0
20 Mar 2025
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based
  Approach
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
Saud Alghumayjan
Jiajun Han
Ningkun Zheng
Ming Yi
Bolun Xu
127
7
0
26 Apr 2024
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 2: Method and Applications
Ziqing Zhu
S. Bu
K. Chan
Bin Zhou
S. Xia
141
0
0
04 May 2023
A General Stochastic Optimization Framework for Convergence Bidding
A General Stochastic Optimization Framework for Convergence BiddingIEEE Transactions on Energy Markets, Policy and Regulation (TEMPR), 2022
Letif Mones
Sean Lovett
213
6
0
12 Oct 2022
Massively Digitized Power Grid: Opportunities and Challenges of
  Use-inspired AI
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AIProceedings of the IEEE (Proc. IEEE), 2022
Le Xie
Xiangtian Zheng
Yannan Sun
Tong Huang
Tony Bruton
AI4CE
301
35
0
10 May 2022
A Reinforcement Learning Approach for the Continuous Electricity Market
  of Germany: Trading from the Perspective of a Wind Park Operator
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park OperatorEnergy and AI (EA), 2021
Malte Lehna
Bjorn Hoppmann
René Heinrich
Christoph Scholz
204
23
0
26 Nov 2021
A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering
  of Market Participants' Performance: A Case of California ISO
A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants' Performance: A Case of California ISO
E. Samani
Mahdi Kohansal
Hamed Mohsenian-Rad
122
11
0
19 Sep 2021
Machine Learning-Driven Virtual Bidding with Electricity Market
  Efficiency Analysis
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency AnalysisIEEE Power & Energy Society General Meeting (PESGM), 2021
Yinglun Li
N. Yu
Wei Wang
195
32
0
06 Apr 2021
A Data-Driven Study to Discover, Characterize, and Classify Convergence
  Bidding Strategies in California ISO Energy Market
A Data-Driven Study to Discover, Characterize, and Classify Convergence Bidding Strategies in California ISO Energy MarketIEEE PES Innovative Smart Grid Technologies Conference (ISGT), 2020
E. Samani
Hamed Mohsenian-Rad
175
3
0
30 Nov 2020
1
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