Short‐term electric power load forecasting using factor analysis and long short‐term memory for smart cities-Reference-Cited by-同舟云学术

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Short‐term electric power load forecasting using factor analysis and long short‐term memory for smart cities

Published:2020-12-30 Issue:6 Volume:49 Page:1678-1703
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Int J Circ Theor Appl

Author:

Veeramsetty Venkataramana¹,Chandra D. Rakesh²,Salkuti Surender Reddy³^ORCID

Affiliation:

1. Center for AI and Deep Learning, Department of Electrical and Electronics Engineering S R Engineering College Warangal India

2. Department of Electrical and Electronics Engineering KITS Warangal India

3. Department of Railroad and Electrical Engineering Woosong University Daejeon Republic of Korea

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.2928

Reference32 articles.

1. Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

2. Short term electric load forecasting using hybrid algorithm for smart cities

3. A methodology for Electric Power Load Forecasting

4. Demand forecasting in the smart grid paradigm: features and challenges;Khodayar ME;Electr J.,2015

5. Recent Trends in Load Forecasting Technology for the Operation Optimization of Distributed Energy System

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