About
Contact & Profiles
A5064771154
Research Areas
- Energy Load and Power Forecasting
- Grey System Theory Applications
- Smart Grid and Power Systems
- Neural Networks and Applications
- Advanced Algorithms and Applications
Pontifícia Universidade Católica do Paraná
2023
The significance of accurate short-term load forecasting (STLF) for modern power systems' efficient and secure operation is paramount. This task intricate due to cyclicity, non-stationarity, seasonality, nonlinear consumption time series data characteristics. rise accessibility in the industry has paved way machine learning (ML) models, which show potential enhance STLF accuracy. paper presents a novel hybrid ML model combining Gradient Boosting Regressor (GBR), Extreme (XGBoost), k-Nearest...
10.1016/j.ijepes.2023.109579
article
EN
cc-by-nc-nd
International Journal of Electrical Power & Energy Systems
2023-10-26
10.26678/abcm.cobem2019.cob2019-1042
article
EN
Proceedings of the 26th International Congress of Mechanical Engineering
2019-01-01
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