This paper examines grid-clustering method. Unlike the conventional methods, this method organizes the space surrounding the patterns. It uses a multidimensional grid data structure. The resulting block partitioning of the value space is clustered via a neighbor search. The mathematical description of the algorithms employed is given. Some case studies and ideas how to use the algorithms are de...

In many areas of design search and optimisation one needs to utilize Computational Fluid Dynamics (CFD) methods in order to obtain numerical solution of the flow field in and/or around a proposed design. From this solution measures of quality for the design may be calculated, which are required by optimisation methods. In large models the processing time for the CFD computations can very well b...

Scheduling in large scale distributed systems like Grids [13] is challenging because of their dynamics, heterogeneity, and lack of central control. In such environments performance predictions play an important role on providing input information required by a Grid scheduler. In this paper we investigate a set of statistical learning techniques in predicting two performance metrics in the Grid,...

This article introduces a modified simulated annealing triple-optimizer for finding the optimal energy management strategy in terms of financial gain maximization in grid-connected, storage-augmented, photovoltaics-supplied prosumer building microgrids in a variable grid price scenario. For evaluating the performance of the optimizer, a number of test cases are specified offering different trad...

For vehicle positioning with Global Navigation Satellite System (GNSS) in urban areas, open-loop tracking shows better performance because of its high sensitivity and superior robustness against multipath. However, no previous study has focused on the effects of the code search grid size on the code phase measurement accuracy of open-loop tracking. Traditional open-loop tracking methods are per...

Multilayer perceptron neural network is one of the widely used method for load forecasting. There are hyperparameters which can be to determine structure and train multilayer model. This paper aims propose a framework grid search model based on walk-forward validation methodology. The training process will specify optimal models satisfy requirement minimum accuracy scores root mean square error...

Customers' behaviors such as tendencies, loyalty status, satisfaction criteria show an alteration day by due to the changing world. So, these behavior changes should be analyzed very well in every step of decision-making process. Customer churn analysis is determination customers who tend leave analyzing customer data with various methods before this situation occurs. This study aims develop Ex...