Predictive model of energy consumption for office building by using improved GWO-BP-Reference-Cited by-同舟云学术

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Predictive model of energy consumption for office building by using improved GWO-BP

Published:2020-11 Issue: Volume:6 Page:620-627
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Tian Ying,Yu Junqi,Zhao Anjun

Funder

Key Technologies and Demonstration of Green Building Energy Consumption Management Analysis Platform Based on Big Data

New Generation Intelligent Building Platform Techniques

Research on Building Energy Intelligent Supervision System for Smart Cities

Publisher

Elsevier BV

Subject

General Energy

Reference37 articles.

1. A new validated TRNSYS module for simulating latent heat storage walls;AI-Saadi;Energy Build.,2015

2. Building energy conservation in atrium spaces based on ECOTECT simulation software in hot summer and cold winter zone in Iran;Amani;Int. J. Energy Sect. Manag.,2018

3. Prediction of residential building energy consumption: A neural network approach;Biswas;Energy,2016

4. Modelling and forecasting building energy consumption: a review of data-driven techniques;Bourdeau;Sustainable Cities Soc.,2019

5. Multiple regression model for fast prediction of the heating energy demand;Catalina;Energy Build.,2013

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