Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model-Reference-Cited by-同舟云学术

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Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model

Published:2021-01 Issue: Volume:231 Page:110558
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Li Kangji,Tian Jing,Xue Wenping,Tan Gang

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Key Research and Development Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference43 articles.

1. I.E. Agency, Tracking clean energy progress: 2017, 2017.

2. An enhanced radial basis function network for short-term electricity price forecasting;Lin;Appl. Energy,2010

3. Evaluating the benefits of using short-term direct normal irradiance forecasts to operate a concentrated solar thermal plant;Law;Sol. Energy,2016

4. Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting;Javed;Appl. Energy,2012

5. A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: a review;Ahmad;Energy Build.,2018

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