2021 journal article
An assessment of multi-layer perceptron networks for streamflow forecasting in large-scale interconnected hydrosystems
International Journal of Environmental Science and Technology, 19(7), 5819–5838.
Contributors: V. Faria n, A. Queiroz n, L. Lima *, J. Lima * & B. Silva *
author keywords: Artificial neural networks; Hydropower generation; Hydrological run-off models; Large interconnected hydrosystems
TL;DR:
The results show that, overall, the neural network models provide more accurate forecasts than the hydrological models used by the Brazilian System Operator.
(via Semantic Scholar)
![UN Sustainable Development Goals Color Wheel](/assets/un-sdg/SDG-Wheel_WEB-small-9baffff2694056ba5d79cdadadac07d345a206e13477bd1034bd8925f38f3c4b.png)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(Web of Science)
13. Climate Action
(Web of Science)
14. Life Below Water
(Web of Science)
Source: ORCID
Added: February 20, 2023