43 citations · 72 across the 6 of their papers we have counts for
7 papers
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda +4
With the growing concern about the security and privacy of smart grid systems, cyberattacks on critical power grid components, such as state estimation, have proven to be one of th…
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda +4
With growing security and privacy concerns in the Smart Grid domain, intrusion detection on critical energy infrastructure has become a high priority in recent years. To remedy the…
A Secure Federated Learning Framework for Residential Short Term Load Forecasting
Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh +3
Smart meter measurements, though critical for accurate demand forecasting, face several drawbacks including consumers' privacy, data breach issues, to name a few. Recent literature…
A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation Forecasting
Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud
In this paper, we propose an improved Bayesian bidirectional long-short term memory (BiLSTM) neural networks for multi-step ahead (MSA) solar generation forecasting. The proposed t…
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh +3
As Smart Meters are collecting and transmitting household energy consumption data to Retail Energy Providers (REP), the main challenge is to ensure the effective use of fine-graine…
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction
Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud +2
The advancement of distributed generation technologies in modern power systems has led to a widespread integration of renewable power generation at customer side. However, the inte…
Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques
Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud +2
Energy forecasting has a vital role to play in smart grid (SG) systems involving various applications such as demand-side management, load shedding, and optimum dispatch. Managing…