Policy Representation Learning for Multiobjective Reservoir Policy Design With Different Objective Dynamics

Most water reservoir operators make use of forecasts to inform their decisions and enhance water systems flexibility and resilience by anticipating hydrological extremes. Yet, despite numerous candidate hydro‐meteorological variables and forecast horizons may potentially be beneficial to operations,...

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Veröffentlicht in:	Water resources research 2021-12, Vol.57 (12), p.n/a
Hauptverfasser:	Zaniolo, Marta, Giuliani, Matteo, Castelletti, Andrea
Format:	Artikel
Sprache:	eng
Schlagworte:	direct policy search Dynamics feature extraction Hydrology Learning Mitigation multiobjective control Multiple objective analysis neuroevolution Policies Representations reservoir operation Reservoirs Searching Tradeoffs Water reservoirs Weather forecasting
Online-Zugang:	Volltext
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