Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations-Reference-Cited by-同舟云学术

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Exploring Optimal Strategies for Small Hydro Power Forecasting: Training Periods and Methodological Variations

Published:2024-07-09 Issue: Volume:50 Page:27
ISSN:
Container-title:ITISE 2024
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Author:

Lopes Duarte¹,Preto Isabel¹,Freire David¹

Affiliation:

1. Enlitia, 4300-394 Porto, Portugal

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/68/1/27/pdf

Reference3 articles.

1. Short-term forecasting model for electric power production of small-hydro power plants;Monteiro;Renew. Energy,2013

2. Dynamic time warping (dtw) algorithm in speech: A review;Yadav;Int. J. Res. Electron. Comput. Eng.,2018

3. Ahmed, M., Seraj, R., and Islam, S.M.S. (2020). The k-means Algorithm: A Comprehensive Survey and Performance Evaluation. Electronics, 9.

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