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This study investigates near-shore circulation and wave characteristics applied to a case-study site in Monterey Bay, California. We integrate physics-based models to resolve wave conditions (based on inputs from a global wave model, wind data from an operational weather platform, and predictions from a regional flow model) together with a linear machine learning algorithm that combines forecasts...
To blend growing amounts of power from renewable resources into utility operations requires accurate forecasts. For both day ahead planning and real-time operations, the power from the wind and solar resources must be predicted based on real-time observations and a series of models that span the temporal and spatial scales of the problem, using the physical and dynamical knowledge as well as computational...
The existence and variability of wave energy resources of the Bohai Sea, Yellow Sea and East China Sea are studied using the 10-year (January 1st, 2003-December 31st, 2012) numerical hindcast wave data. The numerical model is a third-generation wave model developed by Key Lab of MArine Science and NUmerical Modeling, State Oceanic Administration (SOA), China and called MASNUM-WAM (Wave Model). The...
Many forecasting models have been developed for forecasting wind farm electricity output. In most situations, performance of models is problem-dependent. Thus, it is difficult for forecasters to choose the right technique for each unique situation. In order to overcome this problem, this paper integrates multiple models into an aggregated model to obtain further performance improvement. Firstly, three...
This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results...
Computer simulation is an important factor in today's disaster prevention procedures. Simulation codes assess the evolution and impact of various physical phenomena in domains such as nuclear and environmental sciences, and ultimately help saving lives. However, new and more computationally demanding models, and new regulations for personnel training have increased the demand for computational power...
The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique-spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of...
The Vistula Lagoon is a very shallow basin, endangered by storm surges and man's pressure on its environment. The purpose of the paper is to develop a simple system, enabling short-term forecast of water level elevations and flows in the Lagoon and Baltiysk Strait, which is needed for storm surge prevention, for safe navigation and combating oil and chemical spills in the area. The results of calculations,...
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