A multi-task learning model for building electrical load prediction-Reference-Cited by-同舟云学术

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A multi-task learning model for building electrical load prediction

Published:2023-01 Issue: Volume:278 Page:112601
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Liu Chien-Liang,Tseng Chun-Jan,Huang Tzu-Hsuan,Yang Jie-Si,Huang Kai-Bin

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

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

Reference59 articles.

1. A comparative analysis of machine learning approaches for short-/long-term electricity load forecasting in cyprus;Solyali;Sustainability,2020

2. Energy models for demand forecasting–a review;Suganthi;Renew. Sustainable Energy Rev.,2012

3. Smart grid load forecasting using online support vector regression;Vrablecová;Comput. Electr. Eng.,2018

4. Load forecasting via deep neural networks;He;Procedia Comput. Sci.,2017

5. Adaptive methods for short-term electricity load forecasting during covid-19 lockdown in france;Obst;IEEE Trans. Power Syst.,2021

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