Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting
Electric load forecasting (ELF) is vitally beneficial for electrical power planning and economical running in smart grid. However, the medium-term load forecasting has been rarely studied. In addition, existing ELF models mainly consider the impact of limited external factors, which are usually diff...
Main Authors: | Lingyi Han, Yuexing Peng, Yonghui Li, Binbin Yong, Qingguo Zhou, Lei Shu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8584438/ |
Similar Items
-
AN OVERVIEW OF DEEP LEARNING TECHNIQUES FOR SHORT-TERM ELECTRICITY LOAD FORECASTING
by: Saheed ADEWUYI, et al.
Published: (2019-12-01) -
Deep Learning-Based Short-Term Load Forecasting for Transformers in Distribution Grid
by: Renshu Wang, et al.
Published: (2020-11-01) -
Short-Term Load Forecasting Based on PSO-KFCM Daily Load Curve Clustering and CNN-LSTM Model
by: Chuan Shang, et al.
Published: (2021-01-01) -
An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models
by: Suresh, Sreerag
Published: (2020) -
Multi-Convolution Feature Extraction and Recurrent Neural Network Dependent Model for Short-Term Load Forecasting
by: Hui Hwang Goh, et al.
Published: (2021-01-01)