In this paper, we predict the behavior of solar energy in Tulkarm city, Palestine, using Markov chains and fuzzy Markov chains. Relying on solar radiation data in Tulkarm city during 2013–2016, two models are built that correspond to each season. A year is divided into four seasons, each of which consists of three months. Data from the period 2013–2015 are used to build the models, whereas data from 2016 is compared with the results. The accuracy of the models was better in the summer and winter.
Digital Object Identifier (DOI)
Mallak, Saed; Kanan, Mohammad; Alsadi, Samer; Sabbah, Ghadeer; Zahran, Siraj; and Attar, Hani
"Predicting the Behavior of Solar Energy in Tulkarm City Using Markov Chains and Fuzzy Markov Chains,"
Applied Mathematics & Information Sciences: Vol. 17:
2, Article 11.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol17/iss2/11