A Comparative Study of Machine Learning Algorithms for Short-term Electrical Load Forecasting

A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.

Sensitivity of System Reliability Indices to Forecasted Load Uncertainty.

Time Series Statistical Analysis by Using Artificial Neural Network techniques Case study: Forecasting Models

Energy Monitoring and Control Using New Linearized Power Flow Technique.

Machine Learning Method for Solar PV Output Power Prediction

ADVANCED MODELING OF FACTS IN NEWTON POWER FLOW

Fuzzy estimation of the mean for electric load consumption based on different algorithms

Numerical Techniques for Load Flow Studies.

A NEW VERSION OF ELMAN NEURAL NETWORKS FOR DYNAMIC SYSTEMS MODELING AND CONTROL