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Precise predictions of wind power density play a substantial role in determining the viability of wind energy harnessing. In fact, reliable prediction is particularly useful for operators and… Expand
In this paper, the extreme learning machine (ELM) is employed to predict horizontal global solar radiation (HGSR). For this purpose, the capability of developed ELM method is appraised statistically… Expand
Abstract District heating systems are important utility systems. If these systems are properly managed, they can ensure economic and environmental friendly provision of heat to connected customers.… Expand
Abstract In this research work, for the first time, the adaptive neuro fuzzy inference system (ANFIS) is employed to propose an approach for identifying the most significant parameters for prediction… Expand
Diffuse solar radiation is a fundamental parameter highly required in several solar energy applications. Despite its significance, diffuse solar radiation is not measured in many locations around the… Expand
In this study, a novel method based on Extreme Learning Machine with wavelet transform algorithm (ELM-WT) was designed and adapted to estimate the exergetic performance of a DI diesel engine. The… Expand
District heating systems operation can be improved by control strategies. One of the options is the introduction of predictive control model. Predictive models of heat load can be applied to improve… Expand
Wind energy poses challenges such as the reduction of the wind speed due to wake effect by other turbines. To increase wind farm efficiency, analyzing the parameters which have influence on the wake… Expand
Abstract In the present study, four Support Vector Machine-based (SVM-based) approaches and the standard artificial neural network (ANN) model were designed and compared in modelling the exergetic… Expand
A dynamic pricing scheme that provides fairness among the service providers in a multi-cloud environment is proposed that is able to reduce the cost of the end user when running compute-intensive and data-intensive jobs in the multi- cloud environment.Expand
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