The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed.

Everything you need to get started is contained within this book. Deep Time series Forecasting with Python is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and accelerate your progress!

This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks.

There are considerable interests and applications in forecasting using neural networks. This book provides for researchers and practitioners some recent advances in applying neural networks to business forecasting.

... forecasting problems ( short - term load forecasting ) . ENS1 has the additional advantage of having only two ... introduction and literature overview . arXiv : 2004.10240 ( 2020 ) 3. Dudek , G .: Neural networks for pattern ...

... Forecasting time series with complex seasonal patterns using exponential smoothing. J. Am. Stat. Assoc. 106(496), 1513–1527 (2011) 5. Benidis, K., et al.: Neural forecasting: Introduction and literature overview. arXiv:2004.10240 (2020) ...

... forecasting errors. References 1. Benidis, K., et al.: Neural forecasting: Introduction and literature overview. arXiv (2020). https://doi.org/10.48550/arXiv.2004.10240 2. Challu, C., Olivares, K.G., Oreshkin, B.N., Garza, F ...

Neural Networks for Time Series Forecasting with R is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and accelerate your progress!

... forecast in e-commerce using a long short-term memory neural network methodology. In: Neural Information Processing (2019) 3. Benidis, K., Rangapuram, S.S., Flunkert, V., et. al.: Neural forecasting: introduction and literature overview ...

... forecasting quality, in terms of guarantee on the trustworthiness of information, a focus on generating actionable ... Neural forecasting: Introduction and literature overview. CoRR, abs/2004.10240. 7. Berners-Lee, T., Chen, Y ...