{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1021"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1021","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Wireless energy monitoring system","abstract":"Monitoring, controlling, and managing the energy usage in houses or buildings are tasks that not many electric power companies can do with the exception of a few. This sort of operations may be important to households who want to monitor and possibly even control and manage their own electrical energy usage. For this thesis, an open source Wireless Energy Monitoring System was implemented, primarily based on the OpenEnergyMonitor project. The goal of this thesis is to provide a very simple, scalable, and reliable monitoring system that is capable of reading current and voltage from any electrical panel of any building. The system is based on Arduino Fio boards for reading and processing the data (current and voltage) and Xbee Series 2 radio frequency (RF) modules. The circuit that allows the voltage and current readings is based on the schematics provided by the OpenEnergyMonitor project, but with small modifications.","abstract_html":"Monitoring, controlling, and managing the energy usage in houses or buildings are tasks that not many electric power companies can do with the exception of a few. This sort of operations may be important to households who want to monitor and possibly even control and manage their own electrical energy usage. For this thesis, an open source Wireless Energy Monitoring System was implemented, primarily based on the OpenEnergyMonitor project. The goal of this thesis is to provide a very simple, scalable, and reliable monitoring system that is capable of reading current and voltage from any electrical panel of any building. The system is based on Arduino Fio boards for reading and processing the data (current and voltage) and Xbee Series 2 radio frequency (RF) modules. The circuit that allows the voltage and current readings is based on the schematics provided by the OpenEnergyMonitor project, but with small modifications.","abstract_has_math":false,"creators":["Foglia, Federico Alejandro"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Craven, Stephen D.","Ofoli, Abdul; Yaqub, Raziq","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:02Z","subjects":["Automatic data collection systems"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/22","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Craven, Stephen D.","Ofoli, Abdul; Yaqub, Raziq","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Foglia, Federico Alejandro"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2012-05-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Automatic data collection systems"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Electrical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Monitoring, controlling, and managing the energy usage in houses or buildings are tasks that not many electric power companies can do with the exception of a few. This sort of operations may be important to households who want to monitor and possibly even control and manage their own electrical energy usage. For this thesis, an open source Wireless Energy Monitoring System was implemented, primarily based on the OpenEnergyMonitor project. The goal of this thesis is to provide a very simple, scalable, and reliable monitoring system that is capable of reading current and voltage from any electrical panel of any building. The system is based on Arduino Fio boards for reading and processing the data (current and voltage) and Xbee Series 2 radio frequency (RF) modules. The circuit that allows the voltage and current readings is based on the schematics provided by the OpenEnergyMonitor project, but with small modifications."]},{"key":"dc:title","label":"Title","values":["Wireless energy monitoring system"]}]}],"canonical_facts":{"dc:contributor":["Craven, Stephen D.","Ofoli, Abdul; Yaqub, Raziq","College of Engineering and Computer Science"],"dc:creator":["Foglia, Federico Alejandro"],"dc:date":["2012-05-01T07:00:00Z"],"dc:description":["Dept. of Electrical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Monitoring, controlling, and managing the energy usage in houses or buildings are tasks that not many electric power companies can do with the exception of a few. This sort of operations may be important to households who want to monitor and possibly even control and manage their own electrical energy usage. For this thesis, an open source Wireless Energy Monitoring System was implemented, primarily based on the OpenEnergyMonitor project. The goal of this thesis is to provide a very simple, scalable, and reliable monitoring system that is capable of reading current and voltage from any electrical panel of any building. The system is based on Arduino Fio boards for reading and processing the data (current and voltage) and Xbee Series 2 radio frequency (RF) modules. 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