A General Stochastic Optimization Framework for Convergence Bidding
Author:
Affiliation:
1. Invenia Labs, Cambridge, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9794458/10070101/10041754.pdf?arnumber=10041754
Reference33 articles.
1. Risk-constrained Bi-level Optimization for Virtual Bidder Bidding Strategy in Day-Ahead Electricity Markets
2. The impact of virtual bidding on price volatility in New York's wholesale electricity market
3. Strategic Convergence Bidding in Nodal Electricity Markets: Optimal Bid Selection and Market Implications
4. Optimal joint demand and virtual bidding for a strategic retailer in the short-term electricity market
5. coin-or/Cbc: Release releases/2.10.8;forrest,2022
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1. Risk-factor-oriented stochastic dominance approach for industrial integrated energy system operation leveraging physical and financial flexible resources;Applied Energy;2025-01
2. Integrating Risk Preference of Virtual Bidders in Cournot Equilibrium Analysis of Electricity Markets;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11
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