Work

Energy Consumption Prediction Using CNN-LSTM Models: A Time Series Big Data Analysis of Electricity, Heating, Hot Water, and Water

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)

DOI: 10.1109/icce-asia63397.2024.10774020

Authors: Naeun Yoon, Seungju Lee, Seul Ki Kim, Cheoneum Park, Taehoon Kim, Hojun Jin

Institutions: Hanbat National University, Korea Advanced Institute of Science and Technology

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: W4406264327

FWCI: 3.224

Cites:

Cited by: 4

Related to: 10