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Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach

Sustainable Energy, Grids and Networks, 2021
Recently, the penetration of renewable energy sources (RESs) and electric vehicles (EVs), has increased significantly in the power system. These resources bring many advantages to the environment; however, due to their small capacity, they cannot ...
Saleh Sadeghi Gougheri   +4 more
semanticscholar   +1 more source

Game-Theoretic Capacity Expansion Analysis Under Carbon Emission Constraints

IEEE Transactions on Power Systems, 2023
In this paper, we develop a long-term capacity expansion analysis model that considers strategic bidding behavior by dominant generation companies together with new entry decisions, including renewables, to meet a long-term carbon reduction constraint ...
Adam Suski, D. Chattopadhyay
semanticscholar   +1 more source

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement

The Web Conference
In the realm of online advertising, advertisers partake in ad auctions to obtain advertising slots, frequently taking advantage of auto-bidding tools provided by demand-side platforms.
Hao Jiang   +7 more
semanticscholar   +1 more source

Application of machine learning in the monitoring of power market collusion behavior

IEEE Advanced Information Technology, Electronic and Automation Control Conference
With the global progress of power market reform, especially in China where policies have spurred an influx of diverse market players, both the number of market entities and the scale of market transactions have grown significantly.
Hongpeng Qi   +5 more
semanticscholar   +1 more source

Market-Driven Multi-Stage Generation Expansion Planning for Hydrogen-Penetrated Power Systems Towards Energy Transition

IEEE transactions on industry applications
Under the carbon neutrality target, the energy transition of power systems requires a well-designed long-term generation expansion plan to ensure safe, stable, and low-carbon operation.
Zhongfan Gu   +7 more
semanticscholar   +1 more source

Noise-Annealed Deep Recurrent Architecture for Day-Ahead Electricity Price Forecasting

2025 6th International Symposium on New Energy and Electrical Technology (ISNEET)
Short-term electricity price forecasting is a core enabler for risk-aware bidding, contract settlement, and system-wide dispatch planning in modern power markets.
Huazhen Zhang   +3 more
semanticscholar   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

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