43 citations · 72 across the 6 of their papers we have counts for
3 papers · 1 filter
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…