1 citations · 2 across the 5 of their papers we have counts for
5 papers
Census Tract-Level Power Outage Prediction and Sensitivity Analysis During Extreme Events
Antar Kumar Biswas, Masoud H. Nazari
This paper develops a two-stage hurdle model for predicting power outage occurrence and severity at the census-tract level. The proposed framework is then used to assess the sensit…
Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
Nina Fatehi, Antar Kumar Biswas, Masoud H. Nazari
This paper presents a novel learning based framework for predicting power outages caused by extreme events. The proposed approach targets low-probability high-consequence outage sc…
Secure and Decentralized Peer-to-Peer Energy Transactions using Blockchain Technology
Antar Kumar Biswas, Masoud H. Nazari
This paper presents an optimal peer-to-peer (P2P) energy transaction mechanism leveraging decentralized blockchain technology to enable a secure and scalable retail electricity mar…
Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
Xuesong Wang, Nina Fatehi, Caisheng Wang +1
This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two disti…
Decentralized P2P Trading based on Blockchain for Retail Electricity Markets
Masoud H. Nazari, Antar Kumar Biswas
This paper introduces peer to peer (P2P) trading mechanisms based on decentralized Blockchain to facilitate retail electricity market for ever-increasing distributed energy resourc…