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Data-Driven Approach to Predict the Consumption of Electrical Energy in Households Using Features from Non-Electric Data

Year: 2024

Type: conference-paper

Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI: 10.1109/iecon55916.2024.10905185

Authors: Fábio Sayeg, João Góis, Lucas Pereira

Institutions: University of Lisbon, Instituto Superior Técnico, Laboratório de Robótica e Sistemas de Engenharia

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4408281340

FWCI:

Cites: 20

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Related to: 10