Work

Uncertainty-Driven Data Augmentation for Improved Load Time Series Forecasting

Year: 2025

Type: conference-paper

Source: IEEE International Instrumentation and Measurement Technology Conference

DOI: 10.1109/i2mtc62753.2025.11079054

Authors: Virginia Negri, Simone Mari, Alessandro Mingotti, Fabrizio Ciancetta, Roberto Tinarelli, Lorenzo Peretto

Institutions: University of Bologna, University of L'Aquila

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4412964531

FWCI: 4.554

Cites: 13

Cited by: 2

Related to: 10