Demand Forecasting in Data-Scarce and Resource-Restricted Environments

Demand Forecasting in Data-Scarce and Resource-Restricted Environments

With the growing integration of renewable energy technologies, forecasting demand in residential settings is becoming increasingly important. This research addresses the challenge of forecasting energy demand in data-scarce, resource-restricted environments, where traditional static load profiling p...

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Bibliographic Details
Main Authors: David Gogelein, Marianne von Schwerin, Thomas Walter
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Demand forecasting
embedded systems
statistical learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/11052223/
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https://ieeexplore.ieee.org/document/11052223/

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