Day-Ahead Prediction of Distributed Regional-Scale Photovoltaic Power

Performance evaluation of first Iranian large scale photovoltaic power plant

In recent years, due to the fact that non-renewable energies come to an end, renewable energy is expected to provide a significant part of the future needs of Iran. Among these energies, solar energy is a suitable option for a wide range of the country, due to availability, proper radiation intensity, and high sunshine times during the year (about 300 sunny days per year). The purpose of this p...

Optimal Day-Ahead Scheduling of a Smart Distribution Grid Considering Reactive Power Capability of Distributed Generation

Abstract: In the traditional paradigm, large power plants provide active and reactive power required for the transmission system and the distribution network purchases grid power from it. However, with more and more distributed energy resources (DERs) connected at distribution levels, it is necessary to schedule DERs to meet their demand and participate in the electricity markets at the distrib...

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models

Hail causes billions of dollars in losses by damaging buildings, vehicles, and crops. Improving the spatial and temporal accuracy of hail forecasts would allow people to mitigate hail damage. We have developed an approach to forecasting hail that identifies potential hail storms in storm-scale numerical weather prediction models and matches them with observed hailstorms. Machine learning models...

Prediction in Photovoltaic Power by Neural Networks

The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for dispatching and distribution issues, at the transmission system operator level, as well as the electrical distributor and power system operato...

The Impact of Weather Forecasts on Day-Ahead Power Prices