A New Approach for Electricity Demand Forecasting Based on Improved Informer
Author:
Affiliation:
1. Guangxi University of Science and Technology,School of Science,Liuzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420526/10420474/10420649.pdf?arnumber=10420649
Reference27 articles.
1. A linear regression-based study for temperature sensitivity analysis of Iran electrical load
2. A Function-on-Function Linear Regression Approach for Short-Term Electric Load Forecasting
3. Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting
4. Electricity demand load forecasting of the Hellenic power system using an ARMA model
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1. Performance Evaluation of Sequence Model Architectures for Load Forecasting: A Comparative Study;2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE);2024-05-20
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