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Modeling and Simulation of Solar Energy Harvesting Systems with Artificial Neural Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Simulations are a good method for the verification of the correct operation of solar-powered sensor nodes over the desired lifetime. They do, however, require accurate models to capture the influences of the loads and solar energy harvesting system. Artificial neural networks promise a simplification and acceleration of the modeling process in comparison to state-of-the-art modeling methods. This work focuses on the influence of the modeling process's different configurations on the accuracy of the model. It was found that certain parameters, such as the network's number of neurons and layers, heavily influence the outcome, and that these factors need to be determined individually for each modeled harvesting system. But having found a good configuration for the neural network, the model can predict the supercapacitor's charge depending on the solar current fairly accurately. This is also true in comparison to the reference models in this work. Nonetheless, the results also show a crucial need for improvements regarding the acquisition and composition of the neural network's training set.

Place, publisher, year, edition, pages
2016. , 75 p.
Keyword [en]
wireless sensor networks, energy harvesting, solar energy harvesting, system modeling, artificial neural networks, modeling, simulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-29626Local ID: EL-V16-A2-010OAI: oai:DiVA.org:miun-29626DiVA: diva2:1057197
Subject / course
Electronics EL1
Educational program
Master by Research TPRMA 120 higher education credits
Supervisors
Examiners
Available from: 2016-12-16 Created: 2016-12-16 Last updated: 2016-12-16Bibliographically approved

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Gebben, Florian
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf