Forecasting renewable energy generation with a novel flexible nonlinear multivariable discrete grey prediction model-Reference-Cited by-同舟云学术

Forecasting renewable energy generation with a novel flexible nonlinear multivariable discrete grey prediction model

Published:2023-08 Issue: Volume:277 Page:127664
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Ding Yuanping,Dang Yaoguo

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference47 articles.

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2. A novel nonlinear multivariable Verhulst grey prediction model: a case study of oil consumption forecasting in China;Li;Energy Rep,2022

3. Self-adaptive discrete grey model based on a novel fractional order reverse accumulation sequence and its application in forecasting clean energy power generation in China;Wang;Energy,2022

4. Regional heterogeneity governing renewable energy development —from the perspective of industrial chain of production, Transportation and Consumption;Wang;J Beijing Inst Technol (Soc Sci Ed),2022

5. Exploiting fractional accumulation and background value optimization in multivariate interval grey prediction model and its application;Huang;Eng Appl Artif Intell,2021

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