An accurate prediction on natural gas load is always a guarantee of a safe and reliable
operation of the natural gas pipeline network system, however, natural gas daily load …

Accurate load forecasting is conducive to the formulation of the power generation plan, lays
the foundation for the formulation of quotation, and provides the basis for the power …

In the smart grid paradigm, precise electrical load forecasting (ELF) offers significant
advantages for enhancing grid reliability and informing energy planning decisions …

The forecasting of crude oil production is essential to economic plans and decision-making
in the oil and gas industry. Several techniques have been applied to forecast crude oil …

This study presents a new method based on three types of deep learning-based models
(DLM) for estimation of water parameters. The DLM models were recurrent neural networks …

In order to balance power supply and demand, which is crucial for the safe and effective
functioning of power systems, short-term power load forecasting is a crucial component of …

The increasing use of Renewable Energy Resources (RES) in energy generation has led to
the transformation of the conventional electrical grid into a more adaptable and interactive …

The rapid growth of renewable energy and electricity consumption in the tertiary industry
and residential sectors poses significant challenges for deep peak regulation of regional …

The study searches for a probabilistic forecasting model for electric power demand based on
the correlation between weather temperature and electric power demand using hourly time …

Accurate mid-term (weeks to one year) hourly electricity load forecasts are essential for
strategic decision-making in power plant operation, ensuring supply security and grid …