Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …

Power curve of a wind turbine depicts the relationship between output power and hub height
wind speed and is an important characteristic of the turbine. Power curve aids in energy …

Amid the gradual increase of wind power generation, how to relieve the pressure of peak
load and frequency regulation to the power system by wind power forecasting to make it run …

Kubernetes, the container orchestrator for cloud-deployed applications, offers automatic
scaling for the application provider in order to meet the ever-changing intensity of …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

In solving the electrical power systems economic dispatch (ED) problem, the goal is to find
the optimal allocation of output power among the various generators available to serve the …

Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …

One of the conditions of submission of a paper for publication is that authors declare
explicitly that their work is original and has not been submitted to nor appeared in another …

Wind turbine power curve modeling is an important tool in turbine performance monitoring
and power forecasting. There are several statistical techniques to fit the empirical power …