Machine Learning-Driven Virtual Bidding With Electricity Market Efficiency Analysis

Li, Yinglun; Yu, Nanpeng; Wang, Wei

doi:10.1109/tpwrs.2021.3096469

Machine Learning-Driven Virtual Bidding With Electricity Market Efficiency Analysis

Journal Article · 01 January 2022 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/tpwrs.2021.3096469· OSTI ID:1980573

Li, Yinglun; ;

Not provided.

Research Organization:: Electric Power Research Inst. (EPRI), Palo Alto, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0008574

OSTI ID:: 1980573

Journal Information:: IEEE Transactions on Power Systems, Vol. 37, Issue 1; ISSN 0885-8950

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (21)

Virtual Bidding, Wind Generation and California's Day-Ahead Electricity Forward Premium Woo, C. K.; Zarnikau, J.; Cutter, E. The Electricity Journal, Vol. 28, Issue 1 https://doi.org/10.1016/j.tej.2014.12.006	journal	January 2015
Virtual bidding and electricity market design Hogan, William W. The Electricity Journal, Vol. 29, Issue 5 https://doi.org/10.1016/j.tej.2016.05.009	journal	June 2016
Efficiency impact of convergence bidding in the california electricity market Li, Ruoyang; Svoboda, Alva J.; Oren, Shmuel S. Journal of Regulatory Economics, Vol. 48, Issue 3 https://doi.org/10.1007/s11149-015-9281-3	journal	May 2015
Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two-Settlement Electricity Markets With Wind Generation—Part II: ISO Models and Application Kazempour, Jalal; Hobbs, Benjamin F. IEEE Transactions on Power Systems, Vol. 33, Issue 1 https://doi.org/10.1109/TPWRS.2017.2699688	journal	January 2018
Virtual Bidding and Financial Transmission Rights: An Equilibrium Model for Cross-Product Manipulation in Electricity Markets Lo Prete, Chiara; Guo, Nongchao; Shanbhag, Uday V. IEEE Transactions on Power Systems, Vol. 34, Issue 2 https://doi.org/10.1109/TPWRS.2018.2875624	journal	March 2019
Algorithmic Bidding for Virtual Trading in Electricity Markets Baltaoglu, Sevi; Tong, Lang; Zhao, Qing IEEE Transactions on Power Systems, Vol. 34, Issue 1 https://doi.org/10.1109/TPWRS.2018.2862246	journal	January 2019
A Machine Learning Framework for Algorithmic Trading with Virtual Bids in Electricity Markets Wang, Wei; Yu, Nanpeng 2019 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM40551.2019.8973750	conference	August 2019
Modeling electricity prices: jump diffusion and regime switching Weron, R.; Bierbrauer, M.; Trück, S. Physica A: Statistical Mechanics and its Applications, Vol. 336, Issue 1-2 https://doi.org/10.1016/j.physa.2004.01.008	journal	May 2004
A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets Angamuthu Chinnathambi, Radhakrishnan; Mukherjee, Anupam; Campion, Mitch Forecasting, Vol. 1, Issue 1 https://doi.org/10.3390/forecast1010003	journal	July 2018
The price prediction for the energy market based on a new method Ebrahimian, Homayoun; Barmayoon, Saeed; Mohammadi, Mohsen Economic Research-Ekonomska Istraživanja, Vol. 31, Issue 1 https://doi.org/10.1080/1331677X.2018.1429291	journal	January 2018
Economic valuation of wind curtailment rights Yu, N. P.; Sheng, H. Y.; Johnson, R. 2013 IEEE Power & Energy Society General Meeting https://doi.org/10.1109/PESMG.2013.6672796	conference	January 2013
Virtual Bidding: Equilibrium, Learning, and the Wisdom of Crowds * *Supported in part by NSF grants ECCS-1351621, CNS-1239178, IIP-1632124, US DoE under the CERTS initiative. Mather, Jonathan; Bitar, Eilyan; Poolla, Kameshwar IFAC-PapersOnLine, Vol. 50, Issue 1 https://doi.org/10.1016/j.ifacol.2017.08.038	journal	July 2017
ARIMA models to predict next-day electricity prices Contreras, J.; Espinola, R.; Nogales, F. J. IEEE Transactions on Power Systems, Vol. 18, Issue 3 https://doi.org/10.1109/TPWRS.2002.804943	journal	August 2003
Model and data analysis of two-settlement electricity market with virtual bidding Tang, Wenyuan; Rajagopal, Ram; Poolla, Kameshwar 2016 IEEE 55th Conference on Decision and Control (CDC) https://doi.org/10.1109/CDC.2016.7799292	conference	December 2016
Electricity price forecasting: A review of the state-of-the-art with a look into the future Weron, Rafał International Journal of Forecasting, Vol. 30, Issue 4 https://doi.org/10.1016/j.ijforecast.2014.08.008	journal	October 2014
Affinely Adjustable Robust Bidding Strategy for a Solar Plant Paired With a Battery Storage Attarha, Ahmad; Amjady, Nima; Dehghan, Shahab IEEE Transactions on Smart Grid, Vol. 10, Issue 3 https://doi.org/10.1109/TSG.2018.2806403	journal	May 2019
Coherent Measures of Risk Artzner, Philippe; Delbaen, Freddy; Eber, Jean-Marc Mathematical Finance, Vol. 9, Issue 3 https://doi.org/10.1111/1467-9965.00068	journal	July 1999
Learning to Forget: Continual Prediction with LSTM Gers, Felix A.; Schmidhuber, Jürgen; Cummins, Fred Neural Computation, Vol. 12, Issue 10 https://doi.org/10.1162/089976600300015015	journal	October 2000
Optimization of conditional value-at-risk Rockafellar, R. Tyrrell; Uryasev, Stanislav The Journal of Risk, Vol. 2, Issue 3 https://doi.org/10.21314/JOR.2000.038	journal	January 2000
machine. Friedman, Jerome H. The Annals of Statistics, Vol. 29, Issue 5 https://doi.org/10.1214/aos/1013203451	journal	October 2001
XGBoost: A Scalable Tree Boosting System Chen, Tianqi; Guestrin, Carlos Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 https://doi.org/10.1145/2939672.2939785	conference	January 2016

Similar Records

Root Cause Analysis of Degradation in Protonic Ceramic Electrochemical Cell with Interfacial Electrical Sensors Using Data‐Driven Machine Learning

Journal Article · 2023 · Advanced Science · OSTI ID:1996872

Wu, Wei; Wang, Congjian; Bian, Wenjuan; +6 more

Root Cause Analysis of Degradation in Protonic Ceramic Electrochemical Cell with Interfacial Electrical Sensors Using Data‐Driven Machine Learning

Journal Article · 2023 · Advanced Science · OSTI ID:2469600

Wu, Wei; Wang, Congjian; Bian, Wenjuan; +6 more

Approximating Nash Equilibrium in Day-ahead Electricity Market Bidding with Multi-agent Deep Reinforcement Learning

Journal Article · 2021 · Journal of Modern Power Systems and Clean Energy · OSTI ID:1782068

Du, Yan; Li, Fangxing; Zandi, Helia; +1 more

Related Subjects

Engineering

Machine Learning-Driven Virtual Bidding With Electricity Market Efficiency Analysis

Citation Formats

References (21)

Similar Records

Related Subjects