Comparative Analysis of Short-Term LoadForecasting Using Machine Learning Techniques
Published onShort-Term Load Forecasting is essential in estimating future energy demand in power systems, energy utilities, and industrial settings. For energy suppliers and other players in the markets load forecasting is
a crucial instrument.Data-Driven Fault Diagnosis in Three-Phase IMs:Harnessing Current Signature Data with MachineLearning Algorithms
Published onThis paper presents a fault diagnosis technique in three-
phase induction motors (IM) utilizing stator current signature as feature
input to four different machine learning algorithms.