A decision model for an electricity retailer with energy storage and virtual bidding under daily and hourly CVaR assessment
This paper presents a short-term decision-making model for an electricity retailer with battery
energy storage system (BESS) and virtual bidding through a two-stage stochastic …
energy storage system (BESS) and virtual bidding through a two-stage stochastic …
Hybrid scenario generation method for stochastic virtual bidding in electricity market
Stochastic optimization can be used to generate optimal bidding strategies for virtual bidders
in which the uncertain electricity prices are represented by using scenarios. This paper …
in which the uncertain electricity prices are represented by using scenarios. This paper …
Strategic convergence bidding in nodal electricity markets: Optimal bid selection and market implications
Convergence bidding (CB), aka, virtual bidding (VB), is a market mechanism facilitated by
Independent System Operators (ISOs) in wholesale electricity markets to help lower the gap …
Independent System Operators (ISOs) in wholesale electricity markets to help lower the gap …
Cloud-edge-based we-market: Autonomous bidding and peer-to-peer energy sharing among prosumers
F Si, Y Han, Q Xu, J Wang… - Journal of Modern Power …, 2022 - ieeexplore.ieee.org
With the extensive penetration of distributed renewable energy and self-interested
prosumers, the emerging power market tends to enable user autonomy by bottom-up control …
prosumers, the emerging power market tends to enable user autonomy by bottom-up control …
A novel intelligent deep learning-based uncertainty-guided network training in market price
Y Xu, X Zhang, P Meng - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In this article, we introduce an intelligent probabilistic uncertainty-guided prediction model
for energy market price modeling based on the lower–upper bound estimation method. The …
for energy market price modeling based on the lower–upper bound estimation method. The …
A data-driven convergence bidding strategy based on reverse engineering of market participants' performance: A case of california ISO
Convergence bidding, aka, virtual bidding, has been widely adopted in wholesale electricity
markets in recent years. It provides opportunities for market participants to arbitrage on the …
markets in recent years. It provides opportunities for market participants to arbitrage on the …
Understanding convergence bids during blackouts: Analytical results and real-world implications
This paper, for the first time, investigates the operation and impact of convergence bids
(CBs) during blackouts. First, the amount of load shedding in the real-time market (RTM) is …
(CBs) during blackouts. First, the amount of load shedding in the real-time market (RTM) is …
Optimization Decomposition of Monthly Contracts for Integrated Energy Service Provider Considering Spot Market Bidding Equilibria
C Wu, Z Wei, X Jiang, Y Huang, D Fan - Electronics, 2024 - mdpi.com
Under the current power trading model, especially in the context of the large-scale
penetration of renewable energy and the rapid integration of renewable energy into the …
penetration of renewable energy and the rapid integration of renewable energy into the …
Predicting the Gap in the Day-Ahead and Real-Time Market Prices Leveraging Exogenous Weather Data
Predicting the price gap between the day-ahead Market (DAM) and the real-time Market
(RTM) plays a vital role in the convergence bidding mechanism of Independent System …
(RTM) plays a vital role in the convergence bidding mechanism of Independent System …
A data-driven study to discover, characterize, and classify convergence bidding strategies in California ISO energy market
Convergence bidding, has been adopted in recent years by most Independent System
Operators (ISOs) in the United States as a relatively new market mechanism to enhance …
Operators (ISOs) in the United States as a relatively new market mechanism to enhance …