An Image Inpainting Approach to Short-Term Load Forecasting
Author:
Affiliation:
1. Nanyang Technological University, Singapore
2. Energy Research Institute @ Nanyang Technological University (ERI@N), Singapore
3. School of Computer Science and Engineering, Nanyang Technological University, Singapore
Funder
Economic Development Board - Singapore
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/9998169/09735291.pdf?arnumber=9735291
Reference56 articles.
1. Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms
2. Short-Term Load Forecasting Based on a Semi-Parametric Additive Model
3. Monash time series forecasting archive;montero-manso;Conf Neural Inf Process Syst Datasets Benchmarks Track (Round 2),2021
4. Short-term load forecasting via ARMA model identification including non-gaussian process considerations
5. Short-term electricity demand forecasting using double seasonal exponential smoothing
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