Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes-Reference-Cited by-同舟云学术

Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes

Published:2024-02 Issue:1 Volume:29 Page:143-157
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Akbarzadeh Omid¹,Hamzehei Sahand¹,Attar Hani²,Amer Ayman²,Fasihihour Nazanin¹,Khosravi Mohammad R.³,Solyman Ahmed A.⁴

Affiliation:

1. Politecnico di Torino,Department of Electronics and Telecommunications,Turin,Italy,10129

2. Zarqa University,Department of Energy Engineering,Zarqa,Jordan,13110

3. Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology,Weifang,China,262799

4. Nişantaşi University,Faculty of Engineering and Architecture,Department of Electrical and Electronics Engineering,Istanbul,The Republic of Türkiye,25370

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/10225032/10225281.pdf?arnumber=10225281

Reference48 articles.

1. Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

2. Annual Electricity Consumption Forecasting with Neural Network in High Energy Consuming Industrial Sectors of Iran

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