Work

Interpretable Energy Forecasting: Comparative Analysis of Voting Regression and NODE Models for Electricity Power Consumption Prediction

Year: 2025

Type: conference-paper

Source: International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)

DOI: 10.1109/ichora65333.2025.11017058

Author: Burcak Asal

Institution: Adana Science and Technology University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4411204504

FWCI: 4.717

Cites:

Cited by: 2

Related to: 10