Prediction-Learning Algorithm for Efficient Energy Consumption in Smart Buildings Based on Particle Regeneration and Velocity Boost in Particle Swarm Optimization Neural Networks-Reference-Cited by-同舟云学术

Prediction-Learning Algorithm for Efficient Energy Consumption in Smart Buildings Based on Particle Regeneration and Velocity Boost in Particle Swarm Optimization Neural Networks

Published:2018-05-17 Issue:5 Volume:11 Page:1289
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Malik Sehrish,Kim DoHyeun

Funder

Ministry of Science ICT and Future Planning

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/11/5/1289/pdf

Reference62 articles.

1. Global Demand for Energy Will Peak in 2030, Says World Energy Councilhttps://www.theguardian.com/business/2016/oct/10/global-demand-for-energy-will-peak-in-2030-says-world-energy-council

2. Energy Information Koreahttps://www.keei.re.kr/web_keei/en_publish.nsf/XML_Portal_New/B9C4089854585599492580BF0009503E/$file/EnergyInfo2016.pdf

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