Journal Article10.1016/J.RENENE.2011.05.033
Current methods and advances in forecasting of wind power generation
TL;DR: A review of the current methods and advances in wind power forecasting and prediction can be found in this article, where numerical wind power prediction methods from global to local scales, ensemble forecasting, upscaling and downscaling processes are discussed.
read more
About: This article is published in Renewable Energy. The article was published on 01 Jan 2012. The article focuses on the topics: Wind power forecasting & Wind power.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Short-term electric energy production forecasting at wind power plants in pareto-optimality context
TL;DR: In this article, the authors discuss the possibilities of multi-criteria optimisation of a multi-layer perceptron (MLP) model applied to the short-term (intra-and next-day) wind power forecasting problem.
27
A Day-Ahead Wind Power Scenario Generation, Reduction, and Quality Test Tool
TL;DR: Results showed that the tool can generate and reduce the scenario set successfully and the proposed metrics are useful to assess the quality of the reduced scenario set.
Effective artificial neural network-based wind power generation and load demand forecasting for optimum energy management
TL;DR: In this paper , an artificial neural network-based paradigm was proposed to predict wind power generation and load demand, where the meteorological parameters, including wind speed, temperature, and atmospheric pressure, were fed to the model as inputs.
A short-term wind power prediction method based on dynamic and static feature fusion mining
Mao Yang,Da Wei Wang,Wei Zhang +2 more
TL;DR: In this paper , a short-term wind power prediction method based on dynamic and static feature fusion mining is proposed to take full advantage of the time-varying value provided by wind power fluctuations.
27
Short term wind speed estimation in Saudi Arabia
Mohamed Mohandes,Shafiqur Rehman +1 more
TL;DR: In this paper, three methods are used for the prediction of wind speed, 12h ahead, based on 72h previous wind speed values at three locations viz. Rawdat Bin Habbas (inland north), Juaymah (east coast), and Dhulom in Saudi Arabia.
26
References
A Description of the Advanced Research WRF Version 3
C. Skamarock,B. Klemp,Jimy Dudhia,O. Gill,Dale Barker,G. Duda,Xiang-Yu Huang,Wei Wang,G. Powers +8 more
- 01 Jan 2008
TL;DR: The Technical Note series provides an outlet for a variety of NCAR manuscripts that contribute in specialized ways to the body of scientific knowledge but which are not suitable for journal, monograph, or book publication.
A Description of the Advanced Research WRF Version 2
William C. Skamarock,Joseph B. Klemp,Jimy Dudhia,David O. Gill,Dale Barker,Wei Wang,Jordan G. Powers +6 more
- 01 Jun 2005
TL;DR: The Weather Research and Forecasting (WRF) model as mentioned in this paper was developed as a collaborative effort among the NCAR Mesoscale and Microscale Meteorology (MMM) Division, the National Oceanic and Atmospheric Administration's (NOAA) National Centers for Environmental Prediction (NCEP) and Forecast System Laboratory (FSL), the Department of Defense's Air Force Weather Agency (AFWA) and Naval Research Laboratory (NRL), the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma, and the Federal Aviation Administration (F
The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
Harry R. Glahn,Dale A. Lowry +1 more
TL;DR: Model Output Statistics (MOS) as mentioned in this paper is an objective weather forecasting technique which consists of determining a statistical relationship between a predictand and variables forecast by a numerical model at some projection time(s).
1.1K