Models for forecasting growth trends in renewable energy
SB Tsai, Y Xue, J Zhang, Q Chen, Y Liu, J Zhou… - … and Sustainable Energy …, 2017 - Elsevier
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 …
A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting
Renewable energy has made a significant contribution to global power generation.
Therefore, accurate mid-to-long term renewable energy generation forecasting is becoming …
Therefore, accurate mid-to-long term renewable energy generation forecasting is becoming …
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
Introduction of the fractional order accumulation has made significant contributions to the
development of forecasting methods, and fractional grey models play a key role in such new …
development of forecasting methods, and fractional grey models play a key role in such new …
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
Energy consumption is an international issue and plays an important role in the national
energy security, especially for China of which the energy market is in transition. Accuracy …
energy security, especially for China of which the energy market is in transition. Accuracy …
Forecasting China's electricity consumption using a new grey prediction model
A modified grey prediction model is employed to accurately forecast China's overall and
industrial electricity consumption. To this end, a novel optimized grey prediction model …
industrial electricity consumption. To this end, a novel optimized grey prediction model …
The conformable fractional grey system model
The fractional order grey models have appealed considerable interest of research in recent
years due to its high effectiveness and flexibility in time series forecasting. However, the …
years due to its high effectiveness and flexibility in time series forecasting. However, the …
[图书][B] Grey Systems: Theory and Applications
S Liu - 2010 - books.google.com
Due to inherent limitations in human sensing organs, most data collected for various
purposes contain uncertainties. Even at the rare occasions when accurate data are …
purposes contain uncertainties. Even at the rare occasions when accurate data are …
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
HT Pao, HC Fu, CL Tseng - Energy, 2012 - Elsevier
Analyses and forecasts of carbon emissions, energy consumption and real outputs are key
requirements for clean energy economy and climate change in rapid growth market such as …
requirements for clean energy economy and climate change in rapid growth market such as …
A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction
Energy affects the stable and sustainable development of social economy. Energy prediction
plays an important role in the process of China's energy market transformation. Scientific …
plays an important role in the process of China's energy market transformation. Scientific …