China's natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model
As fossil fuels reserves deplete rapidly and the low-carbon economy develops expeditiously,
especially in China, natural gas as a clean and alternative energy is underway to help meet …
especially in China, natural gas as a clean and alternative energy is underway to help meet …
An improved seasonal GM (1, 1) model based on the HP filter for forecasting wind power generation in China
W Qian, J Wang - Energy, 2020 - Elsevier
With rapid development of wind power in China, it has become an integral part of the energy
structure, so it is of practical significance to forecast wind power generation accurately. As …
structure, so it is of practical significance to forecast wind power generation accurately. As …
A novel particle swarm optimization-based grey model for the prediction of warehouse performance
Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …
operational efficiency and the productivity of warehouses is crucial for supply chain …
An optimized grey model for annual power load forecasting
H Zhao, S Guo - Energy, 2016 - Elsevier
Annual power load forecasting is essential for the planning, operation and maintenance of
electric power system, which can also mirror the economic development of a country or …
electric power system, which can also mirror the economic development of a country or …
[HTML][HTML] Comparing forecasting accuracy of selected grey and time series models based on energy consumption in Brazil and India
The study compares the forecasting performance of the grey type models, represented by an
optimized nonlinear grey Bernoulli model (ONGBM), a nonlinear grey Bernoulli model with …
optimized nonlinear grey Bernoulli model (ONGBM), a nonlinear grey Bernoulli model with …
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization
Z Ceylan - Applied soft computing, 2021 - Elsevier
The prediction of the spread of coronavirus disease 2019 (COVID-19) is vital in taking
preventive and control measures to reduce human health damage. The Grey Modelling (1 …
preventive and control measures to reduce human health damage. The Grey Modelling (1 …
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel …
U Şahin - Expert Systems with Applications, 2022 - Elsevier
Abstract China and the United States (US) are in the first two places among the countries
that consume the most primary energy and emit CO 2 emissions in the world. Considering …
that consume the most primary energy and emit CO 2 emissions in the world. Considering …
Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model
U Şahin - Sustainable production and consumption, 2021 - Elsevier
In this study, gross final energy consumption (GFEC), energy consumption of renewable
energy sources (RES) and its share in France, Germany, Italy, Spain, Turkey and the United …
energy sources (RES) and its share in France, Germany, Italy, Spain, Turkey and the United …
Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility
Developing an accurate forecasting model for the volatility of iron ore price plays a vital role
in future investments and decisions for mining projects and related companies. Viewed from …
in future investments and decisions for mining projects and related companies. Viewed from …
Forecasting the COMEX copper spot price by means of neural networks and ARIMA models
This paper examines the forecasting performance of ARIMA and two different kinds of
artificial neural networks models (multilayer perceptron and Elman) using published data of …
artificial neural networks models (multilayer perceptron and Elman) using published data of …