Smart Climate Hydropower Tool: A Machine-Learning Seasonal Forecasting Climate Service to Support Cost–Benefit Analysis of Reservoir Management

Smart Climate Hydropower Tool: A Machine-Learning Seasonal Forecasting Climate Service to Support Cost–Benefit Analysis of Reservoir Management

This study proposes a climate service named Smart Climate Hydropower Tool (SCHT) and designed as a hybrid forecast system for supporting decision-making in a context of hydropower production. SCHT is technically designed to make use of information from state-of-art seasonal forecasts provided by the...

Full description

Bibliographic Details
Main Authors: Arthur H. Essenfelder, Francesca Larosa, Paolo Mazzoli, Stefano Bagli, Davide Broccoli, Valerio Luzzi, Jaroslav Mysiak, Paola Mercogliano, Francesco dalla Valle
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Atmosphere
Subjects:
climate service
hydropower
machine learning
water resources management
seasonal forecasting
Online Access:https://www.mdpi.com/2073-4433/11/12/1305

Internet

https://www.mdpi.com/2073-4433/11/12/1305

Similar Items