Paper-Conference

Short-Term Load Forecasting in Power System Using CNN-LSTM Neural Network

This study proposes a CNN-LSTM model for short-term load forecasting in power systems, demonstrating superior accuracy compared to standalone CNN and LSTM models.

Jan 25, 2024

Short-Term Load Forecasting in Power System Using Recurrent Neural Network

This study applies a gated recurrent unit (GRU) model for short-term load forecasting in the power system, demonstrating its effectiveness in single-step and multi-step predictions.

Aug 29, 2023

Enhanced Power System State Estimation Using Machine Learning Algorithms

This study applies machine learning algorithms, including ANN, Random Forest, and XGBoost, for enhanced power system state estimation, demonstrating their effectiveness on IEEE 14-bus and 30-bus systems.

Aug 29, 2023