Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …

Natural gas, having a significantly lower CO2 emission factor than oil and coal when
combusted, is accepted as an important transition fuel towards carbon net-zero society. To …

Analyzing the drivers of energy demand and predicting energy consumption can help to
shape national policies on energy transformation and energy security. This paper estimates …

This study was conducted on the presentation of a method to improve the forecast of urban
gas consumption based on the weather variables including temperature, pressure, humidity …

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 …

A new multivariable grey prediction model was proposed by adding a dependent variable
lag term, a linear correction term and a random disturbance term to the traditional GM (1, N) …

Nowadays, climate change is one of the most important global issues to the international
community. And nearly thirty kinds of greenhouse gases have been found in the …

The grey model with the fractional Hausdorff derivative is put forward to enhance the
forecasting accuracy of traditional grey model. The proposed model will not be effect by the …

The prediction model's performance in view of the wavelet transform (WT) is affected
because the wavelet basis function (WBF) and its orders and layers are determined …

Commensurate with unprecedented increases in energy demand, a well-constructed
forecasting model is vital to managing energy policies effectively by providing energy …