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. 2010;10(10):9384-96.
doi: 10.3390/s101009384. Epub 2010 Oct 18.

Sensor data fusion for accurate cloud presence prediction using Dempster-Shafer evidence theory

Jiaming Li  1 , Suhuai Luo, Jesse S Jin
Affiliations

Sensor data fusion for accurate cloud presence prediction using Dempster-Shafer evidence theory

Jiaming Li et al. Sensors (Basel). 2010.

Abstract

Sensor data fusion technology can be used to best extract useful information from multiple sensor observations. It has been widely applied in various applications such as target tracking, surveillance, robot navigation, signal and image processing. This paper introduces a novel data fusion approach in a multiple radiation sensor environment using Dempster-Shafer evidence theory. The methodology is used to predict cloud presence based on the inputs of radiation sensors. Different radiation data have been used for the cloud prediction. The potential application areas of the algorithm include renewable power for virtual power station where the prediction of cloud presence is the most challenging issue for its photovoltaic output. The algorithm is validated by comparing the predicted cloud presence with the corresponding sunshine occurrence data that were recorded as the benchmark. Our experiments have indicated that comparing to the approaches using individual sensors, the proposed data fusion approach can increase correct rate of cloud prediction by ten percent, and decrease unknown rate of cloud prediction by twenty three percent.

Keywords: data fusion; dempster-shafer; multi-sensor; prediction; renewable energy; virtual power station.

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Figures

Figure 1.
Figure 1.
General diagram of Dempster-Shafer data fusion for two sensors.
Figure 2.
Figure 2.
Relationship between sunshine presence and the amount of global shortwave radiation. Top: the amount of global shortwave radiation along the time. Bottom: the sunshine strength along the time.
Figure 3.
Figure 3.
The comparison of the real cloud presence and the predicted cloud presence in a period, along with related sensor data on 13th of April.
Figure 4.
Figure 4.
The comparison of the real cloud presence and the predicted cloud presence in a period, along with related sensor data on 29th of April.
See this image and copyright information in PMC

References

    1. Lawrence AK. Sensor and Data Fusion: A Tool for Information Assessment and Decision Making. PM138 SPIE; Lake Buena Vista, FL, USA: Jul, 2004.
    1. Zou Y, Ho YK, Chua CS, Zhou XW. Multi-ultrasonic sensor fusion for mobile robots. Proceedings of the IEEE Intelligent Vehicles Symposium 2000; Dearborn, MI, USA. October 3–5, 2000.
    1. Dempster AP. Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Statist. 1967;38:325–339.
    1. Shafer G. A Mathematical Theory of Evidence. Princeton University Press; Princeton and London, UK: 1976.
    1. Platt G, Guo Y, Li JM, West S. The virtual power station. Proceedings of IEEE International Conference on Sustainable Energy Technologies, ICSET2008; Singapore. November 24–27, 2008.

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