Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

Understanding the evolution of energy consumption and efficiency in China would
contribute to assessing the effectiveness of the government's energy policies and the …

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 …

To achieve a low-carbon energy transition, it is essential to ensure that, as long as fossil
fuels are needed, their production is sustainable, minimizing the environmental impact and …

Sustainable environment is one of the many desirable goals of the modern era, both in
developed and developing economies. Energy efficiency (ENEF) with lower political …

Solar irradiance forecasting has been an essential topic in renewable energy generation.
Forecasting is an important task because it can improve the planning and operation of …

In this study, the weakened fractional-order accumulation operator for alleviating the ill-
condition of discrete grey system models with the aim of improving the grey system theory is …

Reasonable prediction of natural gas consumption and production in China is helpful for
decision-makers formulate policies to solve the increasingly prominent contradiction …

Cryptocurrency prices have the characteristic of high volatility, which has a specific
resistance to cryptocurrency price prediction. Therefore, the appropriate cryptocurrency price …

This study analyzed the Gross Domestic Product (GDP) determinants in Brazil, Russia, India,
China, and South Africa (BRICS). The method used in this study is a Fully Modified Ordinary …