Short-Term Electricity Price Forecast Using Frequency Analysis and Price Spikes Oversampling
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA
2. Department of Electrical & Computer Engineering and Computer Science, Jackson State University, MS, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/4374138/09937193.pdf?arnumber=9937193
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integrating Weather Conditions to Forecast the Electricity Price in Belgium Market: A Novel Mixed-Frequency Machine Learning Algorithm;Journal of Systems Science and Complexity;2024-07-10
2. Interpretable Interval Prediction-Based Outlier-Adaptive Day-Ahead Electricity Price Forecasting Involving Cross-Market Features;IEEE Transactions on Industrial Informatics;2024-05
3. Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study;Forecasting;2024-02-01
4. Day-Ahead Electricity Price Forecasting in the Contemporary Italian Market;IEEE Access;2024
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