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A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case
This paper investigates the potential privacy risks associated with forecasting models, with specific emphasis on their application in the context of smart grids.
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series
Conclusion: Using data of multiple countries in addition to lockdown measures improve accuracy of the forecast of daily cumulative COVID-19 cases.
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