Pseudo-Worst-Case Forecast with Neural Networks in Low Voltage Grids
Author:
Affiliation:
1. Energy System, Energy Efficiency, and Energy Economics, Technical University Dortmund,Dortmund,Germany
2. University of Kaiserslautern,Energy System and Energy Management,Kaiserslautern,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10202231/10202243/10202768.pdf?arnumber=10202768
Reference14 articles.
1. Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting
2. Neural networks for short-term load forecasting: a review and evaluation
3. Pseudo-worst- case forecast for a preventive control in LV smart grids;balouchi;Conf Sustain Energy Supply Energy Storage Syst NEIS,0
4. A scalable load forecasting system for low voltage grids
5. Forecasting low voltage distribution network demand profiles using a pattern recognition based expert system
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