Work

A real-time electrical load forecasting and unsupervised anomaly detection framework

Year: 2022

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2022.120279

Authors: Xinlin Wang, Zhihao Yao, Marios Papaefthymiou

Institution: University of California, Irvine

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: bronze

Funder: National Science Foundation

Award: VEC: Medium: Large-Scale Visual Recognition: From Cloud Data Centers to Wearable Devices

OpenAlex ID: W4310074526

FWCI: 5.518

Cites: 62

Cited by: 101

Related to: 10