A multivariate framework to study spatio‐temporal dependency of electricity load and wind power
Author:
Affiliation:
1. Department Intelligent and Autonomous SystemsCentrum Wiskunde and Informatica Amsterdam The Netherlands
2. Department Electrical Sustainable EnergyDelft University of Technology Delft The Netherlands
3. TenneT TSO B.V. Arnhem The Netherlands
Funder
FP7 Energy
Seventh Framework Programme
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2407
Reference51 articles.
1. http://unfccc.int/paris_agreement/items/9485.php. Accessed December 26 2018.
2. ShiJ LiuY YuN.Spatio‐temporal modeling of electric loads.Proc. 2017 IEEE North American Power Symposium (NAPS).
3. Short-term residential electric load forecasting: A compressive spatio-temporal approach
4. Spatiotemporal Load-Analysis Model for Electric Power Distribution Facilities Using Consumer Meter-Reading Data
5. Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data
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