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Energy Resource Scheduling in an Agriculture System Using a Decision Tree Approach

dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-22T13:49:56Z
dc.date.available2022-05-01T00:30:46Z
dc.date.issued2019
dc.descriptionThe present work was done and funded in the scope of project: Eco Rural IoT (TETRAMAX-VALUECHAIN-TTX-1), CEECIND/02887/2017, and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE and by National Funds through FCT.pt_PT
dc.description.abstractAgriculture sector is backbone of each country. Nowadays the energy efficiency in this sector is at a very low level, which shows the necessity of more investments in this regard. By appearance of smart grid technologies, some new concepts were also appeared in the agriculture sector, such as smart farm, and smart agriculture. This paper provides an energy management system for an agriculture field equipped with renewable energy resources and a river turbine. A decision tree is developed in this paper to schedule and optimize the use of energy resources for reducing the electricity costs. Decision tree method enables the system to obtain optimal scheduling of energy resources in offline mode, without using any external server/machine or internet access. A case study validates the performance of developed decision tree, and the errors and accuracy of all gained results are discussed.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of project: Eco Rural IoT (TETRAMAX-VALUECHAIN-TTX-1), CEECIND/02887/2017, and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE and by National Funds through FCT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISAP48318.2019.9065983pt_PT
dc.identifier.isbn978-1-7281-3192-4
dc.identifier.urihttp://hdl.handle.net/10400.22/18480
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9065983pt_PT
dc.subjectAgriculture systempt_PT
dc.subjectDecision treept_PT
dc.subjectEnergy schedulingpt_PT
dc.subjectRenewable resourcespt_PT
dc.subjectRiver turbinept_PT
dc.titleEnergy Resource Scheduling in an Agriculture System Using a Decision Tree Approachpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlaceNew Delhi, Indiapt_PT
oaire.citation.endPage5pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAbrishambaf
person.familyNameFaria
person.familyNameVale
person.givenNameOmid
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication72f5a93f-febb-46bf-a69d-50881f80cb41
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
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relation.isProjectOfPublication9b771c00-8c2c-4226-b06d-e33ef11f0d32
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