Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network-Reference-Cited by-同舟云学术

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Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network

Published:2019-01 Issue: Volume:233-234 Page:565-575
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

He Yaoyao,Qin Yang,Wang Shuo,Wang Xu,Wang Chao

Funder

National Natural Science Foundation

CRSRI Open Research Program

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference51 articles.

1. Forecasting energy consumption in Taiwan using hybrid nonlinear models;Pao;Energy,2009

2. Forecasting electricity consumption: a comparison of regression analysis, neural networks and least squares support vector machines;Kaytez;Int J Electr Power Energy Syst,2015

3. Annual electricity consumption analysis and forecasting of China based on few observations methods;Ming;Energy Convers Manage,2011

4. Short-term forecasting of industrial electricity consumption in Brazil;Sadownik;J Forecast,1999

5. Long term electricity consumption forecast in Brazil: a fuzzy logic approach;Torrini;Socio-Econ Plann Sci,2016

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