Work

CELSIUS: Contrastive self-supervised learning for improved household load disaggregation and demand-side flexibility modeling

Year: 2026

Type: conference-paper

Source: International Conference on the European Energy Market (EEM)

DOI: 10.1109/eem68581.2026.11589668

Authors: Igor Torshin, Walid M’Zhough, Tania B. Lopez-Garcia, Yousra Sidqi

Institutions: ETH Zurich, Lucerne University of Applied Sciences and Arts

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Office of Energy

OpenAlex ID: W7167912115

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Cites: 14

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