Hydrogen (H 2) solubility is a crucial parameter for industrial processes. This study utilises
various Machine Learning (ML) techniques, including Decision Tree (DT), Multilayer …

With the gradual transformation of global energy, photovoltaic power generation, wind
power generation, and other renewable energy have attracted countries around the world …

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 …

Abstract A Linear Fresnel Reflector Solar Concentrator (LFRSC) consists of three main parts
primary mirrors, a secondary reflector, and an absorber tube. However, the primary mirrors …

A systematic procedure based on adaptive neuro-fuzzy inference systems (ANFIS), artificial
neural networks, and least-squares support vector machines develop to estimate hydrogen …

The uncertainty and instability of wind power make it difficult to develop wind energy, wind
farm grid connection, and power system stability, so accurate forecasting of wind power is …

With large-scale wind power connected to the power grid, accurate short-term wind power
forecasting has become a key technology for safe, economic power grid operation …

In recent years, the usage of new technologies in distributed generation is growing due to
the electricity industry movement towards privatization and decentralized production of …

There is some new challenges about the greenhouse gases, climate changing, and weather
warming. The applying of the various Energy Policies (EPs) on production sections, is the …

The inevitable randomness, intermittence and uncertainty of wind power bring great
challenges to grid connection, power dispatching and consumption. Effective assessment of …