3 papers
cs.LG2022★ 7 cited
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
Mina Razghandi, Hao Zhou, Melike Erol-Kantarci +1
Data is the fuel of data science and machine learning techniques for smart grid applications, similar to many other fields. However, the availability of data can be an issue due to…
eess.SY2021
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…
eess.SP2021
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…