An energy prediction approach using bi-directional long short-term memory for a hydropower plant in Laos
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02096-8.pdf
Reference37 articles.
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2. Babaei M et al (2019) Artificial neural network and support vector machine models for inflow prediction of dam reservoir (Case study: Zayandehroud dam reservoir). Water Resour Manage 33:2203–2218. https://doi.org/10.1007/s11269-019-02252-5
3. Bounsouk S et al (2013) Reconstruction of the livelihood of resettlers from the Nam Theun 2 hydropower project in Laos. Water Resour Dev 29(1):71–86. https://doi.org/10.1080/07900627.2012.738792
4. Chang, F.J., et al., 2015. Multi-step-ahead reservoir inflow forecasting by artificial intelligence techniques. Smart Innov, Syst Technol 30. https://doi.org/10.1007/978-3-319-13545-8_14
5. Chiamsathit C et al (2014) Inflow forecasting using artificial neural networks for reservoir operation. Hydrol Sci 373:209–214. https://doi.org/10.5194/piahs-373-209-2016
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