Day-Ahead Zonal Electricity Price Forecasting using 1D-LSTM with Neighbouring Zones Data-Reference-Cited by-同舟云学术

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Day-Ahead Zonal Electricity Price Forecasting using 1D-LSTM with Neighbouring Zones Data

Published:2023-06-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE Belgrade PowerTech
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Author:

Redhu Surender¹,Bremdal Bernt A.²

Affiliation:

1. Smart Innovation Norway AS,Section of Energy Markets,Halden,Norway

2. Smart Innovation Norway AS,Section of Energy Markets

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10202231/10202243/10202771.pdf?arnumber=10202771

Reference18 articles.

1. Recent advances in electricity price forecasting: A review of probabilistic forecasting

2. Day-Ahead Electricity Price Forecasting in a Grid Environment

3. A Review of Price Forecasting Problem and Techniques in Deregulated Electricity Markets

4. Locational marginal price forecasting in a day-ahead power market using spatiotemporal deep learning network

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