Work

Predicting Energy Demand with Interpretable Machine Learning Models

Year: 2024

Type: conference-paper

DOI: 10.1109/icamac62387.2024.10829226

Authors: Yashwanth Karuparthi, Syed Haroon Shoaib, Harshadeep Chowdary Kommareddi, J. Angel Arul Jothi

Institution: Birla Institute of Technology and Science, Pilani - Dubai Campus

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

Open Access status: closed

OpenAlex ID: W4406208877

FWCI: 1.612

Cites: 15

Cited by: 2

Related to: 10