Work

Machine Learning for Power Consumption Forecasting

Year: 2024

Type: conference-paper

Source: International Ural Conference on Electrical Power Engineering (UralCon)

DOI: 10.1109/uralcon62137.2024.10718998

Authors: Svetlana Vyalkova, Ivan Nadtoka, Olga Kornyukova

Institution: Platov South-Russian State Polytechnic University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4403676640

FWCI:

Cites: 3

Cited by:

Related to: 10