Time series predicting of COVID-19 based on deep learning
COVID-19 was declared a global pandemic by the World Health Organisation (WHO) on
11th March 2020. Many researchers have, in the past, attempted to predict a COVID …
11th March 2020. Many researchers have, in the past, attempted to predict a COVID …
A novel method for prediction and analysis of COVID 19 transmission using machine learning based time series models
Coronavirus has been avowed world epidemic by the Organisation Mondiale de la Santé on
March 11th 2020. Formerly, numerous investigators have endeavoured to envisage …
March 11th 2020. Formerly, numerous investigators have endeavoured to envisage …
[HTML][HTML] Electricity Consumption Forecasting for Out-of-Distribution Time-of-Use Tariffs
In electricity markets, electricity retailers or brokers want to maximize profits by allocating
tariff profiles to end-consumers. One of the objectives of such demand response …
tariff profiles to end-consumers. One of the objectives of such demand response …
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
Deep learning (DL) models have seen increased attention for time series forecasting, yet the
application on cyber-physical systems (CPS) is hindered by the lacking robustness of these …
application on cyber-physical systems (CPS) is hindered by the lacking robustness of these …