Accurately forecasting photovoltaic power generation is essential for the efficient integration
of renewable energy into power grids. This paper presents a novel, high-accuracy …

Solar energy stands as a versatile and eco-friendly power source, pivotal in addressing
global energy challenges and fostering a sustainable future. This study employs machine …

IoT devices with limited resources, and in the absence of gateways, become vulnerable to
various attacks, such as denial of service (DoS) and man-in-the-middle (MITM) attacks …

The limited nature of fossil resources and their unsustainable characteristics have led to
increased interest in renewable sources. However, significant work remains to be carried out …

As the global reliance on renewable energy sources grows, wind and photovoltaic power, as
pivotal components, pose significant challenges to power system dispatch due to their …

In the context of global warming, renewable energy sources, particularly wind and solar
power, have garnered increasing attention in recent decades. Accurate forecasting of the …

This study conducted a detailed comparative analysis of various machine learning models to
enhance wind energy forecasts, including linear regression, decision tree, random forest …

Digital integration is essential for efficient and sustainable management of energy
resources, especially in modernizing outdated infrastructures. This involves embedding …

Accurate short-term forecasts of Global Horizontal Irradiance (GHI) are crucial for optimizing
solar energy production and grid stability. They enable adjustments to power output based …

Renewable energy research has become significant in the modern period owing to
escalating prices of fossil fuels and the pressing need to reduce greenhouse gas emissions …