Work

Prediction of Total Renewable Energy Consumption using Artificial Intelligence Approach

Year: 2024

Type: conference-paper

Source: International Seminar on Application for Technology of Information and Communication (iSemantic)

DOI: 10.1109/isemantic63362.2024.10762694

Authors: Nurmalitasari, Nurchim, Herliyani Hasanah

Institution: Universitas Duta Bangsa

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4404915419

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