Probabilistic Forecasting of Electricity Demand Incorporating Mobility Data

Probabilistic Forecasting of Electricity Demand Incorporating Mobility Data

Due to extreme weather conditions and anomalous events such as the COVID-19 pandemic, utilities and grid operators worldwide face unprecedented challenges. These unanticipated changes in trends introduce new uncertainties in conventional short-term electricity demand forecasting (EDF) since its resu...

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Bibliographic Details
Main Authors: Israt Fatema, Gang Lei, Xiaoying Kong
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
probabilistic forecasting
Gaussian process regression
kernel density estimation
electricity demand forecasting
uncertainties
Online Access:https://www.mdpi.com/2076-3417/13/11/6520

Internet

https://www.mdpi.com/2076-3417/13/11/6520

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