Work

Time Series Synthetic Load Data Generation for Forecasting and Power System Studies

Year: 2025

Type: conference-paper

Source: Global Power, Energy and Communication Conference

DOI: 10.1109/gpecom65896.2025.11061984

Authors: Altan Unlu, Malaquias Peña

Institution: University of Connecticut

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

Open Access status: closed

Funders: University of Connecticut, Experiment

OpenAlex ID: W4412129643

FWCI: 2.358

Cites: 18

Cited by: 1

Related to: 10