A Review of Wind Power Forecasting Models

A Review on Wind Power Forecasting

Wind Power Forecasting Using Dynamic Bayesian Models

Introduction Due to the cleanness and low cost of wind energy, wind farms are designed to produce as much energy as possible. Wind depends on external atmospheric conditions. For energy control centers is difficult to schedule wind power energy due to its intermittency.

Evaluation of two simple wind power forecasting models

This paper investigates the performance of two simple wind power prediction models, an autoregressive one with exogenous input (ARX-model) and a neural network based one, none of which employs weather prediction data. The models are applied for predicting wind power production in three different wind parks, for which data are available. The error of the models is investigated for various foreca...

Wind Power Forecasting Using Ensembles

Short-term prediction of wind energy is by now an established field of wind power technology. For the last 15 years, our groups have worked in the field and developed short-term prediction models being used operatively at the major Danish utilities since 1996. The next step in the development of the models is to use ensemble forecasts. The ensembles are produced routinely at US NCEP (National C...

A Literature Review of Wind Forecasting Methods

In this paper, an overview of new and current developments in wind forecasting is given where the focus lies upon principles and practical implementations. High penetration of wind power in the electricity system provides many challenges to the power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accu...