Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power-Reference-Cited by-同舟云学术

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Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power

Published:2023-01 Issue:1 Volume:38 Page:85-99
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Hosseini Seyyed Ahmad¹^ORCID,Toubeau Jean-Francois¹^ORCID,De Greve Zacharie¹,Wang Yi²^ORCID,Amjady Nima³^ORCID,Vallee Francois¹

Affiliation:

1. Electrical Power Engineering Unit, University of Mons, Mons, Belgium

2. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

3. Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran

Funder

FPS economy

S.M.E.s

BEOWIND

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/9998169/09726863.pdf?arnumber=9726863

Reference46 articles.

1. Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

2. Effect of Input Noise Dimension in GANs

3. IMPACT OF FAST WIND FLUCTUATIONS ON THE PROFIT OF A WIND POWER PRODUCER JOINTLY TRADING IN ENERGY AND RESERVE MARKETS

4. A new optimal power flow approach for wind energy integrated power systems

5. Analysis of Mixed Data

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2. Market-Level Integrated Detection Against Cyber Attacks in Real-Time Market Operations by Self-Supervised Learning;IEEE Transactions on Smart Grid;2024-07

3. Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system;Energy;2024-04

4. Wind Power Bidding Based on an Ensemble Differential Evolution Algorithm with a Problem-Specific Constraint-Handling Technique;Energies;2024-01-12

5. A new inrush current detection for collector transformers’ differential protection in DFIG-based wind farms;Electric Power Systems Research;2023-12

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