Reference health

Developing Robust Bidding Strategy for Virtual Bidders in Day-Ahead Electricity Markets

https://doi.org/10.1109/oajpe.2021.3105097
CiteStamped reference-health badge
1 of 29 checkable references need attention · checked 2026-07-22

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.2307/2581394
The 28 checked references that resolve
resolves10.1109/OAJPE.2020.3029134
Complementarity, Not Optimization, is the Language of Markets
resolves10.1109/TSG.2021.3075386
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP
resolves10.1109/TPWRS.2002.804948
Price-taker bidding strategy under price uncertainty
resolves10.1109/TPWRS.2009.2036810
Short-Term Trading for a Wind Power Producer
resolves10.1016/j.epsr.2013.12.014
Optimal bidding strategy in transmission-constrained electricity markets
resolves10.1109/TPWRS.2007.907536
Electricity Producer Offering Strategies in Day-Ahead Energy Market With Step-Wise Offers
resolves10.1109/TPWRS.2003.821474
Bidding Strategies for Electricity Producers in a Competitive Electricity Marketplace
resolves10.1109/TPWRS.2009.2030378
Pool Strategy of a Producer With Endogenous Formation of Locational Marginal Prices
resolves10.1016/j.energy.2016.05.086
Economic assessment of a price-maker energy storage facility in the Alberta electricity market
resolves10.1109/TPWRS.2015.2411332
Offering Strategy of Wind-Power Producer: A Multi-Stage Risk-Constrained Approach
resolves10.1016/j.enconman.2010.08.033
Optimal risky bidding strategy for a generating company by self-organising hierarchical particle swarm optimisation
resolves10.1109/TPWRS.2015.2483781
Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach
resolves10.1515/9781400831050
Robust Optimization
resolves10.1016/j.tej.2010.04.014
Virtual Bidding: The Good, the Bad and the Ugly
resolves10.1109/OAJPE.2020.3006828
Impact of Energy Storage on Economic Dispatch of Distribution Systems: A Multi-Parametric Linear Programming Approach and its Implications
resolves10.1109/TPWRS.2017.2699687
Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two-Settlement Electricity Markets with Wind Generation—Part I: Principles and Competitive Model
resolves10.1109/TPWRS.2018.2875624
Virtual Bidding and Financial Transmission Rights: An Equilibrium Model for Cross-Product Manipulation in Electricity Markets
resolves10.1016/j.tej.2013.09.014
Using Virtual Bids to Manipulate the Value of Financial Transmission Rights
resolves10.1109/ISGT.2019.8791618
Risk-averse Offer Strategy of a Photovoltaic Solar Power Plant with Virtual Bidding in Electricity Markets
resolves10.1109/PESGM40551.2019.8973750
A Machine Learning Framework for Algorithmic Trading with Virtual Bids in Electricity Markets
resolves10.1016/j.tej.2016.05.009
Virtual bidding and electricity market design
resolves10.1016/j.epsr.2019.105986
A distributionally robust bidding strategy for a wind power plant
resolves10.1109/TPWRS.2016.2633546
A Stochastic Adaptive Robust Optimization Approach for the Offering Strategy of a Virtual Power Plant
resolves10.1016/j.epsr.2020.106745
A distributionally robust bidding strategy for a wind-storage aggregator
resolves10.1109/TIA.2020.2984741
Bilevel Robust Optimization of Electric Vehicle Charging Stations With Distributed Energy Resources
resolves10.1002/2050-7038.12426
Bidding strategy of hybrid power plant in day‐ahead market as price maker through robust optimization
resolves10.1049/iet-gtd.2018.5061
Robust bidding strategies and scheduling of a price‐maker microgrid aggregator participating in a pool‐based electricity market
resolves10.1109/TSG.2017.2749437
Developing Bidding and Offering Curves of a Price-Maker Energy Storage Facility Based on Robust Optimization
The 6 references without a DOI — listed, not checked
no DOI — not checkedAn updated version of the IEEE RTS 24-bus system for electricity market and power system operation studies
no DOI — not checkedref32
no DOI — not checkedref35
no DOI — not checkedref34
no DOI — not checkedref2
no DOI — not checkedRisk-constrained bi-level optimization for virtual bidder bidding strategy in day-ahead electricity markets
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1109/oajpe.2021.3105097"><img src="https://citestamp.com/citestamped/10.1109/oajpe.2021.3105097/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1109/oajpe.2021.3105097/badge.svg)](https://citestamp.com/citestamped/10.1109/oajpe.2021.3105097)