Sentence examples for resources forecasting from inspiring English sources

Many recent studies propose wavelet-based hydrological and water resources forecasting models that have been incorrectly developed and that cannot properly be used for real-world forecasting problems.

This was accentuated by the need to develop a broader spectrum of water resources forecasting products (such as soil moisture) in addition to the more traditional river, flash flood, and water supply forecasts.

After DMIP 1, the NWS recognized the need for additional science experiments to guide its research-to-operations path towards advanced hydrologic models for river and water resources forecasting.

Phase 2 of the Distributed Model Intercomparison Project (DMIP 2) was formulated primarily as a mechanism to help guide the US National Weather Service (NWS) as it expands its use of spatially distributed watershed models for operational river, flash flood, and water resources forecasting.

Phase 2 of the Distributed Model Intercomparison Project (DMIP 2) was formulated primarily as a mechanism to help guide the U.S. NWS as it expands its use of spatially distributed watershed models for operational river, flash flood, and water resources forecasting.

While most of these systems are operated with dispatch strategies which do not make use of predictions about the load or about the availability of renewable energy resources, forecast-based strategies have recently gained attention as an alternative to bring down operation costs.

In addition, concerns were raised about a potential worsening of the already poor-quality services because the costs to meet increased demand for services would exceed the additional resources forecasted to be generated by SHI [ 19].

Cloud detection is essential in short-term solar resource forecasting.

The renewable resource forecasting acts like a scheduling mechanism used for dispatchable generation.

Although continued measurements are needed to understand the interannual resource variability, the current study should have significant applications for preliminary technology selection, power plant modeling, and resource forecasting.

The WZH model utilises a third-party intermediary, the Coordinator, who uses a variety of cloud assets to deliver resources to clients at a reduced price, while making a profit and assisting the provider(s) in resource forecasting.