A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms-Reference-Cited by-同舟云学术

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A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms

Published:2022-04 Issue: Volume:258 Page:115540
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Han Yan,Mi Lihua,Shen Lian,Cai C.S.,Liu Yuchen,Li Kai

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. A review of wind speed and wind power forecasting with deep neural networks;Wang;Appl Energy,2021

2. One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data;Zhao;Energy Convers Manage,2018

3. Approaches to wind power curve modeling: a review and discussion;Wang;Renew Sustain Energy Rev,2019

4. Data processing strategies in wind energy forecasting models and applications: a comprehensive review;Liu;Appl Energy,2019

5. One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data Energy Convers;Zhao;Manage,2018

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