Modeling of Solar Intensity via Markov Chains with Applications in Solar Energy Harvesting

Here, we propose a solar intensity model based on Markov chain. This model provides more accurate results for instantaneous solar intensity vector. We show that by increasing the order of Markov chain, we can achieve finer results in terms of maximum likelihood of the model matching the instantaneous data. Applying this model on the data collected from Rochester in upstate New York shows the effectiveness of our approach.