Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

As the global population and economy grow, so does the energy demand. Over-reliance on
non-renewable resources leads to depletion and price spikes, making renewable …

This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …

Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …

Smart Grid technology has been considered an attractive research issue due to its efficiency
in solving energy demand, storage, and power transmission. The integration of IoT …

This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …

The use of fossil-fueled power stations to generate electricity has had a damaging effect
over the years, necessitating the need for alternative energy sources. Microgrids consisting …

As solar energy contributes an increasing share of total electricity generation, solar
forecasting errors become important relative to overall load uncertainty and can add costs to …

The energy market relies on forecasting capabilities of both demand and power generation
that need to be kept in dynamic balance. Nowadays, contracts and auctions of renewable …

Solar photovoltaic power plays a vital role in global renewable energy power generation,
and an accurate solar power forecast can further promote applications in integrated power …