Journal ArticleDOI
A weights combined model for middle and long-term streamflow forecasts and its value to hydropower maximization
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TLDR
The relationship between the forecast skill and its value can be strongly affected by decision-makers priorities, but the relative improvement in hydropower generation obtained by the compromised forecasts going from 0.02% to 3.39% indicates that improved forecasts are potentially valuable for informing strategic decisions.About:
This article is published in Journal of Hydrology.The article was published on 2021-11-01. It has received 9 citations till now. The article focuses on the topics: Forecast skill.read more
Citations
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A novel ensemble model for long-term forecasting of wind and hydro power generation
Priyanka Malhan,Monika Mittal +1 more
TL;DR: In this article, the authors proposed an ensemble forecasting model for wind and hydro power generation in order to predict the generation of weather dependent renewables in long-term is not feasible but an adaptive longterm forecasting model based on univariate time series analysis can provide the solution.
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A novel ensemble model for long-term forecasting of wind and hydro power generation
TL;DR: In this article , a novel ensemble forecasting model is proposed for wind and hydro power generation for a year-ahead (long-term) power generation scenario, which is adaptive to all renewables that exhibit seasonal variations.
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Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit
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A comparative assessment of CMIP5 and CMIP6 in hydrological responses of the Yellow River Basin, China
TL;DR: In this article , the performance of the Coupled Model Intercomparison Project Phase 6 (CMIP6) models in simulating the hydrological regime in the Yellow River Basin (YRB) was evaluated.
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Multi-objective robust optimization of reservoir operation for real-time flood control under forecasting uncertainty
TL;DR: Wang et al. as discussed by the authors developed a multi-objective robust optimization methodology for real-time reservoir flood control operation, which mainly coped with forecast uncertainty, and defined a new indicator of reservoir reserved capacity adaptation (RRCA) as one of the optimization indicators.
References
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River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
TL;DR: In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.
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Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
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Variational Mode Decomposition
TL;DR: This work proposes an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently and is a generalization of the classic Wiener filter into multiple, adaptive bands.
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Tutorial overview of model predictive control
TL;DR: The concepts are introduced, a framework in which the critical issues can be expressed and analyzed are provided, and it is pointed out how MPC allows practitioners to address the trade-offs that must be considered in implementing a control technology.
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Multi-objective grey wolf optimizer
TL;DR: A novel multi-objective algorithm called Multi-Objective Grey Wolf Optimizer (MOGWO) is proposed in order to optimize problems with multiple objectives for the first time.