Deep learning for energy markets-Reference-Cited by-同舟云学术

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Deep learning for energy markets

Published:2020-01 Issue:1 Volume:36 Page:195-209
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Polson Michael¹,Sokolov Vadim²^ORCID

Affiliation:

1. Bates White Washington District of Columbia

2. Systems Engineering and Operations Research George Mason University Fairfax Virginia

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2518

Reference54 articles.

1. Smart Operation of Smart Grid: Risk-Limiting Dispatch

2. On the estimation of long tailed skewed distributions with actuarial applications

3. Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading

4. Deep learning for short-term traffic flow prediction

5. Statistical Modeling of Spatial Extremes

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4. Deep Ensemble Transformers for Dimensionality Reduction;IEEE Transactions on Neural Networks and Learning Systems;2024

5. Electricity price estimation using deep learning approaches: An empirical study on Turkish markets in normal and Covid-19 periods;Expert Systems with Applications;2023-08

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