Work

Retrofitting Energy IoT Devices in the Residential Sector: Efficient Machine Learning for Day-Ahead Forecasting

Year: 2025

Type: article

Source: ACM SIGEnergy Energy Informatics Review

DOI: 10.1145/3777518.3777528

Authors: Demetrios N. Papadopoulos, Anke Weidlich

Institution: University of Freiburg

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W7116067474

FWCI: 1.155

Cites: 42

Cited by: 5

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