26 citations · 77 across the 14 of their papers we have counts for
4 papers · 1 filter
Predicting infections in the Covid-19 pandemic -- lessons learned
Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut +1
Throughout the Covid-19 pandemic, a significant amount of effort had been put into developing techniques that predict the number of infections under various assumptions about the p…
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
A smart home energy management system (HEMS) can contribute towards reducing the energy costs of customers; however, HEMS suffers from uncertainty in both energy generation and con…
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Appliance-level load forecasting plays a critical role in residential energy management, besides having significant importance for ancillary services performed by the utilities. In…
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni +1
The daily activities performed by a disabled or elderly person can be monitored by a smart environment, and the acquired data can be used to learn a predictive model of user behavi…