The complex numerical climate models pose a big challenge for scientists in weather
predictions, especially for tropical system. This paper is focused on presenting the …

Accurate prediction of electric power generation in combined cycle power plants is
challenging yet crucial, especially when employing machine learning techniques like …

With the fast expansion of intermittent renewable energy sources in the upcoming smart
grids, simple and accurate day-ahead systems for residual load forecasts are urgently …

Rural electrification improves the quality of life and wellbeing of the rural communities.
Diesel generators and woods are the main source of energy for the rural dwellers who are …

This study proposed a model for estimating monthly solar radiation values using the
adaptive network-based fuzzy inference systems (ANFIS-SR). The ANFIS-SR model is …

In the high-tech world, medical imaging is very important to diagnose and analyze illness
inside human body. The increasing number of patients annually has continuously growth the …

Distributed Generation source have wide application due to their phenomenal advantages.
These sources include Photovoltaic (PV) cells producing DC voltage at their output that …

Following the major revolution in the sun energy field, the forecast of this one is getting
increasingly relevant in competitive electricity markets. Since the solar energy produced is …

Global Solar Radiation (GSR) data is important for all solar energy based applications,
mainly to forecast the output power of solar PV system in case of renewable energy …

Nigeria faces the dual challenge of harmful industrial emissions contributing to climate
change and unreliable power supply, demanding urgent attention. This study focuses on …