In order to identify power production and demand in realtime for efficient and dependable
management for diverse renewable energy systems, precise and intuitive renewable energy …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Wind power forecasting has supported operational decision-making for power system and
electricity markets for 30 years. Efforts of improving the accuracy and/or certainty of …

The early and reliable detection of COVID-19 infected patients is essential to prevent and
limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries …

Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …

Day-ahead scenario generationof renewable power plays an important role in short-term
power system operations due to considerable output uncertainty included. In this paper, a …

The rapid growth of electricity demand in Iraq has consistently outstripped the country's
electricity infrastructure, leading to frequent blackouts, especially during peak summer …

With the increasing penetration of wind energy, accurate wind power prediction is essential
for efficient utilization, equipment protection, and stable grid-connection of wind energy …

Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

A smart city model views the city as a complex adaptive system consisting of services,
resources, and citizens that learn through interaction and change in both the spatial and …