Green artificial intelligence (AI) is more environmentally friendly and inclusive than
conventional AI, as it not only produces accurate results without increasing the …

This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

Accurate PV power forecasting is becoming a mandatory task to integrate the PV plant into
the electrical grid, scheduling and guaranteeing the safety of the power grid. In this paper, a …

Accurate predictions of photovoltaic power generation (PV power) are essential for the
integration of renewable energy into grids, markets, and building energy management …

Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …

Accurate short-term forecasting of photovoltaic (PV) power is indispensable for controlling
and designing smart energy management systems for microgrids. In this paper, different …