Search

Your search keyword '"Prokop, Lukas"' showing total 229 results
Start Over Author "Prokop, Lukas"
229 results on '"Prokop, Lukas"'

34. Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neural Networks to Elicit PDE Models

Author

Zjavka, Ladislav, Mišák, Stanislav, Prokop, Lukáš, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Madureira, Ana Maria, editor, Abraham, Ajith, editor, Gandhi, Niketa, editor, and Varela, Maria Leonilde, editor

Published
2020
Full Text
View/download PDF

40. NWP Model Revisions Using Polynomial Similarity Solutions of the General Partial Differential Equation

Author

Zjavka, Ladislav, Mišák, Stanislav, Prokop, Lukáš, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Haqiq, Abdelkrim, editor, Muda, Azah Kamilah, editor, and Gandhi, Niketa, editor

Published
2018
Full Text
View/download PDF

46. Applications of intelligent methods in solar heaters: an updated review.

Author

Nazari, Mohammad Alhuyi, Mukhtar, Azfarizal, Yasir, Ahmad Shah Hizam Md, Rashidi, M. M., Ahmadi, Mohammad Hossein, Blazek, Vojtech, Prokop, Lukas, and Misak, Stanislav

Subjects
HEATING, RENEWABLE energy sources, ARTIFICIAL neural networks, LITERATURE reviews, SUPPORT vector machines, SOLAR energy, SOLAR thermal energy, SOLAR heating
Abstract

Heating and thermal comfort have remarkable share of final energy consumption. Until now, most of the demand for heating applications in buildings is supplied by fossil fuels and electrical technologies. Concerning the exhaustion of fossil fuels in the future and the environmental problems related to their consumption, making use of renewable energy sources can be a practical alternative. On this point, solar energy is an appropriate source to be applied for heating by utilizing different technologies. The function and output of solar heaters depends on numerous factors, and this causes difficulties in the prediction of their performance and modelling. In this scenario, intelligent techniques are helpful and have been used by several scholars in recent years. This paper reviews proposed models for the prediction of the performance of different solar heaters. The literature review reveals that artificial neural Networks represent one of the most used approaches for the performance prediction of solar heaters; however, other intelligent techniques, namely support vector machines, have been used for this purpose too. Moreover, it is found that these methods have the ability to predict with great precision by applying the appropriate approach and architecture. In addition, it can be noted that the function of the models generated based on intelligent techniques are associated with some elements such as the employed function and architecture of the model. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results