Bensalem, Abderrahman and Belgacem, Toual and Kouzou, Abdellah and Belboul, Zakaria (2024) Effect of a resampling method on the effectiveness of multi-layer neural network models in PV power forecasting. EAI Endorsed Transactions on Energy Web.
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Abstract
The primary aim of this study was to explore the impact of employing the K-fold Cross Validation resampling method in contrast to the hold-out set validation approach on the efficacy of forecasting models utilizing Multi-layer Neural Networks (MNN) for predicting photovoltaic (PV) output power. Real
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:11 |
| Last Modified: | 11 Apr 2026 00:31 |
| URI: | http://eprints.eai.eu/id/eprint/51484 |
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