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Evaluation and Design Exploration of Solar Harvested-Energy Prediction Algorithm

Ali, Mustafa, Al-Hashimi, Bashir, Recas, Joaquin and Atienza, David (2010) Evaluation and Design Exploration of Solar Harvested-Energy Prediction Algorithm At DATE 2010 - Design Automation and Test in Europe 2010, Germany. 08 - 12 Mar 2010.

Record type: Conference or Workshop Item (Other)


To respond to variations in solar energy, harvested-energy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is dependent on both the achievable accuracy and computation overhead of prediction algorithm implementation. This paper presents detailed evaluation of a recently reported solar energy prediction algorithm to determine empirical bounds on achievable accuracy and implementation overhead using an effective error evaluation technique. We evaluate the algorithm performance over varying prediction horizons and propose guidelines for algorithm parameter selection across different real solar energy profiles to simplify implementation. The prediction algorithm computation overhead is measured on actual hardware to demonstrate prediction accuracy-cost trade-off. Finally, we motivate the basis for dynamic prediction algorithm and show that more than 10% increase in prediction accuracy can be achieved compared to static algorithm.

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Submitted date: 7 December 2010
Additional Information: Event Dates: 8-12 March 2010
Venue - Dates: DATE 2010 - Design Automation and Test in Europe 2010, Germany, 2010-03-08 - 2010-03-12
Keywords: Energy Harvesting, Solar Energy Prediction, Wireless Sensor Node, MSP430, Harvested-Energy Management
Organisations: Electronic & Software Systems


Local EPrints ID: 268299
PURE UUID: bb962d9d-2fba-4085-9c03-1becd42ae630

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Date deposited: 07 Dec 2009 14:34
Last modified: 18 Jul 2017 06:55

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Author: Mustafa Ali
Author: Joaquin Recas
Author: David Atienza

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