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Models for forecasting growth trends in renewable energy
The advantages of renewable energy are that it is low in pollution and sustainable. Energy
shortages do not apply to renewable energy. In this study, we primarily forecast growth …
shortages do not apply to renewable energy. In this study, we primarily forecast growth …
The connotation of digital twin, and the construction and application method of shop-floor digital twin
C Zhuang, T Miao, J Liu, H ** trends of China's energy
production and consumption under the influence of China's energy saving policy. An …
production and consumption under the influence of China's energy saving policy. An …
Forecasting models in the manufacturing processes and operations management: Systematic literature review
The purpose of this paper is to present the result of a systematic literature review regarding
the application and development of forecasting models in the industrial context, especially …
the application and development of forecasting models in the industrial context, especially …
Electricity consumption prediction using a neural-network-based grey forecasting approach
Electricity consumption is an important economic index and plays a significant role in
drawing up an energy development policy for each country. Multivariate techniques and time …
drawing up an energy development policy for each country. Multivariate techniques and time …
An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China
LY He, LL Pei, YH Yang - Science of the Total Environment, 2020 - Elsevier
In recent years, under a series of policy shocks, the production and sales of new energy
vehicles in China show the characteristics of trend mutation and non-smoothness. In order to …
vehicles in China show the characteristics of trend mutation and non-smoothness. In order to …
The necessary and sufficient condition for GM (1, 1) grey prediction model
CI Chen, SJ Huang - Applied Mathematics and Computation, 2013 - Elsevier
The grey theory demonstrates the optimal and unique ability of performing fitting predictions
using small data sets and limited information to allow fast, concise, accurate, and effective …
using small data sets and limited information to allow fast, concise, accurate, and effective …
A historic Review of Grey Forecasting Models.
This manuscript aims to summarize the evolution of grey forecasting models and their
applications in recent three decades and digs out several valuable research directions of …
applications in recent three decades and digs out several valuable research directions of …