Wind speed reconstruction using a novel Multivariate Probabilistic method and Multiple Linear Regression: advantages compared to the single correlation approach
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering
Reference30 articles.
1. Review of the use of numerical weather prediction (NWP) models for wind energy assessment;Al-Yahyaia;Renew. Sustain. Energy Rev.,2010
2. A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data;Alessandrini;Appl. Energy,2013
3. A boundary layer scaling technique for estimating near-surface wind energy using numerical weather prediction and wind map data;Allen;Appl. Energy,2017
4. Using regression analysis to predict the future energy consumption of a supermarket in the UK;Braun;Appl. Energy,2014
5. A review of measure-correlate-predict (MCP) methods used to estimate long term wind characteristics at a target site;Carta;Renew. Sustain. Energy Rev.,2013
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