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Time Series Forecasting

38 papers with code ยท Time Series

Time series forecasting is the task of predicting future values of a time series (as well as uncertainty bounds).

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Latest papers without code

A network-based transfer learning approach to improve sales forecasting of new products

13 May 2020

A network-based Transfer Learning approach for deep neural networks is designed to investigate the efficiency of Transfer Learning in the domain of food sales forecasting.

TIME SERIES TIME SERIES FORECASTING TRANSFER LEARNING

If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN

3 May 2020

The motivation of the framework is to either transform existing highly accurate point forecast models to their probabilistic counterparts or to train GANs stably by selecting the architecture of GAN's component carefully and efficiently.

MULTIVARIATE TIME SERIES FORECASTING TIME SERIES

Time Series Forecasting With Deep Learning: A Survey

28 Apr 2020

Numerous deep learning architectures have been developed to accommodate the diversity of time series datasets across different domains.

TIME SERIES TIME SERIES FORECASTING

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

23 Apr 2020

Unfortunately, current self-adaptive approaches do not account for tactic volatility in their decision-making processes, and merely assume that tactics do not experience volatility.

DECISION MAKING TIME SERIES TIME SERIES FORECASTING

Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks

9 Apr 2020

Application of exponentially smoothed RNNs to electricity load forecasting, weather data and financial time series, such as minute level Bitcoin prices and CME futures tick data, highlight the efficacy of exponential smoothing for multi-step time series forecasting.

LOAD FORECASTING TIME SERIES TIME SERIES FORECASTING

Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)

8 Apr 2020

Generative Adversarial Networks (GANs) have gained significant attention in recent years, with particularly impressive applications highlighted in computer vision.

TIME SERIES TIME SERIES FORECASTING

Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack

4 Apr 2020

In this paper, we improve the memory-augmented RNN with important architectural and state updating mechanisms that ensure that the model learns to properly balance the use of its latent states with external memory.

LANGUAGE MODELLING MACHINE TRANSLATION TIME SERIES TIME SERIES FORECASTING

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model

30 Mar 2020

A novel bioinspired metaheuristic is proposed in this work, simulating how the coronavirus spreads and infects healthy people.

LOAD FORECASTING TIME SERIES TIME SERIES FORECASTING

Correlated daily time series and forecasting in the M4 competition

28 Mar 2020

We participated in the M4 competition for time series forecasting and describe here our methods for forecasting daily time series.

TIME SERIES TIME SERIES FORECASTING