Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting

no code implementations • 6 Apr 2023 • Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha

By comparing our spintronic physical RC approach with energy load forecasting algorithms, such as LSTMs and RNNs, we conclude that the proposed framework presents good performance in achieving high predictions accuracy, while also requiring low memory and energy both of which are at a premium in hardware resource and power constrained edge applications.

Load Forecasting regression +1

RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data

no code implementations • 5 Sep 2022 • Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic

Recent year has brought considerable advancements in Electric Vehicles (EVs) and associated infrastructures/communications.

Anomaly Detection Explanation Generation +1