Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks

Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks

Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inherent dimensions of a forecast: three dimensions in...

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Bibliographic Details
Main Authors: Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia, Marco Mussetta
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Forecasting
Subjects:
energy forecasting
probabilistic forecasting
time series analysis
singular value decomposition
clustering
Online Access:https://www.mdpi.com/2571-9394/5/2/21

Internet

https://www.mdpi.com/2571-9394/5/2/21

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