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 …

Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …

The use of renewable energy resources, especially wind power, is receiving strong attention
from governments and private institutions, since it is considered one of the best and most …

Reliable wind power and ramp event prediction is essential for the safe and stable operation
of electric power systems. Previous prediction methods struggled to forecast large …

Renewable energy sources, especially wind energy, are to play a larger role in providing
electricity to industrial and domestic consumers. This is already the case today for a number …

The Poisson binomial distribution is the distribution of the sum of independent and non-
identically distributed random indicators. Each indicator follows a Bernoulli distribution and …

Abstract Numerical Weather Prediction (NWP) is the key to precise wind power forecasting
(WPF), which can be enhanced by the NWP correction and scenario partition techniques …

Wind ramps introduce significant uncertainty into wind power generation. Reliable system
operation, however, requires accurate detection and forecast of wind ramps, especially at …

Scenarios of short-term wind power generation are becoming increasingly popular as input
to multistage decision-making problems eg multivariate stochastic optimization and …

Forecasting large and fast variations of wind power (the so-called ramps) helps achieve the
integration of large amounts of wind energy. This paper presents a survey on wind power …