Estimating Harvestable Solar Energy from Atmospheric Pressure Using Support Vector Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096787" target="_blank" >RIV/61989100:27240/15:86096787 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/INCoS.2015.58" target="_blank" >http://dx.doi.org/10.1109/INCoS.2015.58</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2015.58" target="_blank" >10.1109/INCoS.2015.58</a>
Alternative languages
Result language
angličtina
Original language name
Estimating Harvestable Solar Energy from Atmospheric Pressure Using Support Vector Regression
Original language description
Energy neutrality is the desired mode of operation of many sensor networks used for environmental monitoring. Intelligent energy harvesting networks, composed of nodes equipped with solar panels and other types of power-scavenging devices, can plan and manage their operations according to short and long-term predictions of ambient energy availability. This paper introduces a novel method for next-day solar energy prediction based on atmospheric pressure and support vector regression. A location-specificsupport vector regression model is in this approach created using a collection of geospatially correlated atmospheric pressure and solar intensity measurements. The trained model is used to estimate next day solar energy availability from a time seriesof recent atmospheric pressure values and their differences. The ability of the proposed system to estimate daily solar energy is compared to a recent evolutionary-fuzzy prediction scheme and traditional analytical estimates.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Networking and Collaborative Systems INCoS-2015 : 7th International Conference : proceedings : September 2-4, 2015, Taipei, Tchaj-wan
ISBN
978-1-4673-7694-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
192-199
Publisher name
IEEE
Place of publication
Danvers
Event location
Taipei
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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