Open Access

Saurav Bhowmick

• The increase in the use of sensitive Power Electronic dominated electrical devices has made the high visibility of their use for the consistent and high quality of electricity supply, as deviations in electricity supply can lead to malfunctions or failures, leading to loss of capital cost, loss of equipment, high maintenance cost and downtime. Despite technological advancements, issues inThe increase in the use of sensitive Power Electronic dominated electrical devices has made the high visibility of their use for the consistent and high quality of electricity supply, as deviations in electricity supply can lead to malfunctions or failures, leading to loss of capital cost, loss of equipment, high maintenance cost and downtime. Despite technological advancements, issues in electricity persist due to factors like short circuits, voltage fluctuations, overloads, smart loads, unbalanced loads, and non-linear loads. This research focuses on forecasting anomalies in Power electronicdominated electrical devices in the institute by analyzing power system data to enhance the reliability of electricity supply. Detecting and predicting anomalies in the electricity of a power grid is vital for ensuring the stability and reliability of power grids, especially with challenges from non-linear loads, renewable energy integration, and electric vehicles. Advanced Methods like curve fitting, Fast Fourier transform, and Cross-correlation were used to detect anomalies in the data. Machine learning models, such as ensemble methods, were used to forecast the occurrence of anomalies. An attempt was made to generate future synthetic voltage profiles to find the anomalies.…