Work

Power Trading Price Forecasting using an LSTM-GRU Ensemble and an XGBoost Residual Correction Model

Year: 2026

Type: article

Source: The Journal of Korean Institute of Information Technology

DOI: 10.14801/jkiit.2026.24.2.55

Author: Bongseog Jang

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

Funder: Mokpo National University

OpenAlex ID: W7134808764

FWCI:

Cites: 13

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