Day-Ahead Wind Power Forecast Through High-Resolution Mesoscale Model: Local Computational Fluid Dynamics Versus Artificial Neural Network Downscaling
Author:
Affiliation:
1. Department of Engineering, University of Perugia, Via G. Duranti 93, Perugia 06125, Italy
2. WindSim AS, Fjordgaten 15, Tønsberg N-3125, Italy
Abstract
Publisher
ASME International
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Link
http://asmedigitalcollection.asme.org/solarenergyengineering/article-pdf/doi/10.1115/1.4045740/6472625/sol_142_3_034502.pdf
Reference21 articles.
1. Towards a Danish Power System With 50 Activities in Denmark;Xu,2009
2. Current Methods and Advances in Forecasting of Wind Power Generation;Foley;Renewable Energy,2012
3. Forecasting and Verification of Winds in An East African Complex Terrain Using Coupled Mesoscale-and Micro-scale Models;Mughal;J. Wind Eng. Ind. Aerodyn.,2018
4. Mesoscale to Microscale Wind Farm Flow Modeling and Evaluation;Sanz Rodrigo;Wiley Interdisc. Rev.: Energy Environ.,2017
5. A Review of Wind Power and Wind Speed Forecasting Methods With Different Time Horizons;Soman,2010
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