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Monitor and Analysis of Renewable Energy Based on Intelligent Algorithm

In this paper, we propose a novel method to monitor and analyze the renewable energy using intelligent algorithm. The main innovation of this paper lies in that we introduce time series algorithm to monitor and analyze of utilization of renewable energy. In particular, three types of building integrated renewable energy sources are utilized, including 1) Solar water heater, 2) Solar photovoltaic, and 3) Ground source heat pump. Next, the renewable energy monitor and analysis system is implemented using the hidden Markov model, which can effectively describe the intrinsic connection between observed data. Finally, we utilize 1) utilization efficiency, 2) solar radiation quantity and 3) COP value as the performance evaluation metric to test the performance of the proposed method. Experimental results show that the monitor and analysis results for renewable energy system by our method are very close to real values.