Estimation of future power consumption level in smart grid: Application of fuzzy logic and genetic algorithm on big data platform-Reference-Cited by-同舟云学术

Estimation of future power consumption level in smart grid: Application of fuzzy logic and genetic algorithm on big data platform

Published:2019-12-12 Issue:2 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Je Seung‐Mo¹,Huh Jun‐Ho²^ORCID

Affiliation:

1. Department of Computer Science Education Korea University Seoul Republic of Korea

2. Department of Data Informatics Korea Maritime and Ocean University Busan Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4056

Reference40 articles.

1. The path of the smart grid

2. A study on the design of humane animal care system and java implementation;Gong H‐S;J Inf Process Syst,2018

3. An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future internet of things;Miah MS;HCIS,2018

4. JeS‐M HuhJ‐H. “Nash equilibrium solution for communication in strategic competition adopted by Zigbee Network for Micro Grid ” International Conference on Information Science and Applications LNEE Springer pp.595‐606 2018.

5. LeeS HuhJ‐H.An effective security measures for nuclear power plant using big data analysis approach the journal of supercomputing Springer pp.1‐28 2018.

Cited by 10 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. BBUCAF;Wireless Communication for Cybersecurity;2023-10-27

2. Recent trends in computational intelligence for educational big data analysis;Iran Journal of Computer Science;2023-09-07

3. Studies on Conventional and Advanced Machine Learning Algorithm Towards Framing of Robust Data Analytics for the Smart Grid Application;Data Analytics for Smart Grids Applications—A Key to Smart City Development;2023

4. Real-Time Scheduling for Optimal Energy Optimization in Smart Grid Integrated With Renewable Energy Sources;IEEE Access;2022

5. Efficient Energy Optimization Day-Ahead Energy Forecasting in Smart Grid Considering Demand Response and Microgrids;Sustainability;2021-10-16