A Case for Atmospheric Transmittance: Solar Energy Prediction in Wireless Sensor Nodes
Open access
Date
2018-07Type
- Conference Paper
Abstract
In this paper, we propose four novel schemes for solar energy prediction in wireless sensor nodes. Two of the schemes (WCMA-T and ProEnergy-T) are extensions of stateof-the-art schemes, while the remaining schemes (EWMA-T and Delta-T) are new. The proposed strategies leverage the extraterrestrial solar model [5] to get better prediction accuracy compared to state-of-the-art. We restrict our scope to schemes that only employ local information. Thus, leveraging external information, such as weather forecasts, is not permitted. In our comparison, we acknowledge that wireless sensor nodes are resource constrained. In such systems, runtime computation complexity and memory footprint of the prediction schemes is of high importance. Therefore, these overheads are also considered in our comparison. ProEnergy-T achieves an average improvement of 14.5% in accuracy compared to state-of-the-art. Delta-T achieves an average improvement of 8.3% with lower
runtime computation complexity. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000345667Publication status
publishedExternal links
Book title
2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)Pages / Article No.
Publisher
IEEEEvent
Organisational unit
03429 - Thiele, Lothar (emeritus) / Thiele, Lothar (emeritus)
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