KPX, Rules on Operating Electricity Market, 2025

G. Peter Zhang, Time series forecasting using a hybrid ARIMA and neural network model, Neurocomputing, Vol. 50, pp. 159-175, 2003

KPX, A Study on Short-term Load Forecasting Technique and its Application, 2011

Wei-Chiang Hong, Electric load forecasting by support vector model, Applied Mathematical Modelling, Vol. 33.5, pp. 2444-2454, 2009

J. Y. Oh, Short-term load forecasting using XGBoost and the analysis of hyperparameters, The Transactions of the Korean Institute of Electrical Engineers, Vol. 68, No. 9, pp. 1073-1078, 2019

Weicong Kong, Short-term residential load forecasting based on LSTM recurrent neural network, IEEE transactions on smart grid, Vol. 10, No. 1, 2017

S. Yun, B. Kim, H. Kim, Hybrid Deep Learning-Based Forecast of Weekly Power Demand Combining Attention-Mechanism, The transactions of The Korean Institute of Electrical Engineers, Vol. 73, No. 9, pp. 1507-1512, 2024

Li Zhu, MSRNet: Multi-level series decomposition and stepwise reconstruction network for load forecasting, Journal of King Saud University Computer and Information Sciences, Vol. 37, No. 25, 2025

Keyu Song, Short-term load forecasting based on CEEMDAN and dendritic deep learning, Knowledge-Based Systems, Vol. 294, 2024

Wenting Zha, Yongqiang Ji, Chen Liang, Short-term load forecasting method based on secondary decomposition and improved hierarchical clustering, Results in Engineering, Vol. 22, 2024

S. Zhou, A Load Forecasting Framework Considering Hybrid Ensemble Deep Learning With Two-Stage Load Decomposition, IEEE Transactions on Industry Applications, Vol. 60, No. 3, pp. 4568-4582, 2024

Kasun Bandaraa, Rob J. Hyndmanb, Christoph Bergmeirc, MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns, International Journal of Operational Research, Vol. 52, No. 1, pp. 79-98, 2021

K. Dragomiretskiy, D. Zosso, Variational Mode Decomposition, IEEE Transactions on Signal Processing, Vol. 62, No. 3, pp. 531-544, 2014

Dong-Jin Bae, Bo-Sung Kwon, Chan-Ho Moon, Su-Hwa Woo, Kyung-Bin Song, Short-Term Load Forecasting Algorithm on Weekdays considering the Amount of Behind-the-Meter Generation, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 34, No. 11, pp. 37-43, 2020

S. Hochreiter, J. Schmidhuber, Long Short-Term Memory, Neural Computation, Vol. 9, No. 8, pp. 1735-1780, 1997