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.
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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.
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Citations
Determination of economic dispatch of wind farm‐battery energy storage system using Genetic Algorithm
TL;DR: In this paper, the authors considered the incorporation of battery energy storage systems (BESS) into wind farms, for the purpose of achieving economic dispatch for the wind power generators in a manner similar to conventional power plants.
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Assessment of the wake effect on the energy production of onshore wind farms using GIS
TL;DR: In this paper, the authors proposed a method to estimate the mean annual energy production of a wind farm with a Geographic Information System (GIS), which allows for spatial modeling in many fields and has recently been applied in the field of renewable energy.
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Assessing wind speed simulation methods
Andrés Feijóo,Daniel Villanueva +1 more
TL;DR: In this paper, simulation methods of wind speed series at different locations are reviewed, and the strong relationship between wind speed and the power generated by a wind energy converter (WEC) has led researchers to reflect on the need to develop adequate models for simulating wind speed data.
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Intra-hour irradiance forecasting techniques for solar power integration: a review.
TL;DR: In this article, the progress in intra-hour solar forecasting methodologies are comprehensively reviewed and concisely summarized and suggestions to accelerate the development of future intrahour forecasting methods are provided.
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Daily Average Wind Energy Forecasting Using Artificial Neural Networks
TL;DR: In this article, an architecture based on feed-forward artificial neural network is developed for wind power forecasting in the South-East part of the Europe conditions, and the proposed solution is investigated in order to establish the optimum configuration and the performances in case of the South East part of Europe conditions.
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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).
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