Dual Deep Learning model for Electricity Price Forecasting: Bi-LSTM and GRU fusion-Reference-Cited by-同舟云学术

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Dual Deep Learning model for Electricity Price Forecasting: Bi-LSTM and GRU fusion

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing
language:
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Author:

Raju Reshma¹^ORCID,T Anjali²^ORCID,Ramlal Nandakishor Prabhu³^ORCID

Affiliation:

1. Department of Mathematics, Amrita Vishwa Vidyapeetham, India

2. Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, India

3. Altair Engineering, AIOT-Development, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607947.3607951

Reference18 articles.

1. Design of input vector for day-ahead price forecasting of electricity markets

2. Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models

3. Selected Indian stock predictions using a hybrid ARIMA-GARCH model

4. Accurate Deep Model for Electricity Consumption Forecasting Using Multi-channel and Multi-Scale Feature Fusion CNN–LSTM

5. Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network

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1. Geopolitical Risk Analysis and its Impact on Market Volatility;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

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