Mina Razghandi
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View article: Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning Open
Recent years have noticed an increasing interest among academia and industry towards analyzing the electrical consumption of residential buildings and employing smart home energy management systems (HEMS) to reduce household energy consump…
View article: New fungal pathogens and endophytes associated with Salsola
New fungal pathogens and endophytes associated with Salsola Open
Species of the genus Salsola belong to the family Chenopodiaceae and are associated with large saline areas in eastern Iran. The aim of the study was to isolate and characterize the endophytic and phytopathogenic fungal communities from no…
View article: Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home Open
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 privacy concerns, data size, data quality, and so on. To t…
View article: Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning Open
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 consumption patterns. In this paper, we propose a sequence to …
View article: Short-Term Load Forecasting for Smart HomeAppliances with Sequence to\n Sequence Learning
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to\n Sequence Learning Open
Appliance-level load forecasting plays a critical role in residential energy\nmanagement, besides having significant importance for ancillary services\nperformed by the utilities. In this paper, we propose to use an LSTM-based\nsequence-to…
View article: Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning
Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning Open
Appliance-level load forecasting plays a critical role in residential energy management, besides having significant importance for ancillary services performed by the utilities. In this paper, we propose to use an LSTM-based sequence-to-se…