![PDF) Energy Consumption Forecasting in Commercial Buildings during the COVID-19 Pandemic: A Multivariate Multilayered Long-Short Term Memory Time-Series Model with Knowledge Injection PDF) Energy Consumption Forecasting in Commercial Buildings during the COVID-19 Pandemic: A Multivariate Multilayered Long-Short Term Memory Time-Series Model with Knowledge Injection](https://i1.rgstatic.net/publication/373476873_Energy_Consumption_Forecasting_in_Commercial_Buildings_during_the_COVID-19_Pandemic_A_Multivariate_Multilayered_Long-Short_Term_Memory_Time-Series_Model_with_Knowledge_Injection/links/64edf746176ede5d320b9bf8/largepreview.png)
PDF) Energy Consumption Forecasting in Commercial Buildings during the COVID-19 Pandemic: A Multivariate Multilayered Long-Short Term Memory Time-Series Model with Knowledge Injection
![A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series | Computational and Applied Mathematics A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series | Computational and Applied Mathematics](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs40314-019-1006-2/MediaObjects/40314_2019_1006_Fig4_HTML.png)
A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series | Computational and Applied Mathematics
![Forecasting | Free Full-Text | Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India Forecasting | Free Full-Text | Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India](https://www.mdpi.com/forecasting/forecasting-05-00006/article_deploy/html/images/forecasting-05-00006-g001.png)
Forecasting | Free Full-Text | Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India
![Remote Sensing | Free Full-Text | Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques Remote Sensing | Free Full-Text | Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques](https://pub.mdpi-res.com/remotesensing/remotesensing-14-00614/article_deploy/html/images/remotesensing-14-00614-ag.png?1643344436)
Remote Sensing | Free Full-Text | Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques
![Energies | Free Full-Text | Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe Energies | Free Full-Text | Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe](https://www.mdpi.com/energies/energies-15-04003/article_deploy/html/images/energies-15-04003-g001-550.jpg)
Energies | Free Full-Text | Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe
![A Hybrid ARIMA and Artificial Neural Networks Model to Forecast Air Quality in Urban Areas: Case of Tunisia | Scientific.Net A Hybrid ARIMA and Artificial Neural Networks Model to Forecast Air Quality in Urban Areas: Case of Tunisia | Scientific.Net](https://www.scientific.net/AMR.518-523.2969/preview.gif)