Data analytics for building management system using wireless metering infrastructure
This report focuses on data analytics for building management system. Data from the smart meters is transmitted and collected in a database so that aggregators and utility companies can keep track and understand power consumption better. Using this system, aggregators will be able to come up with be...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/70930 |
| _version_ | 1826110843700379648 |
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| author | Neo, Sebastian Guang Jin |
| author2 | So Ping Lam |
| author_facet | So Ping Lam Neo, Sebastian Guang Jin |
| author_sort | Neo, Sebastian Guang Jin |
| collection | NTU |
| description | This report focuses on data analytics for building management system. Data from the smart meters is transmitted and collected in a database so that aggregators and utility companies can keep track and understand power consumption better. Using this system, aggregators will be able to come up with better demand response techniques, benefits and load shifting method that are commonly used in smart grids. Using the system, utility companies will know how much electricity they need to generate in different periods of a day so that there will not be over-generation. As the demand in electricity increases, generation companies try to meet the demands of customers without causing more harm to the environment. They do this by using different approaches to meet the expectations of the consumers more efficiently. This demand response approach makes use of technologies and incentives to encourage consumers to participate in the program by allowing users to keep track of their consumption and to reduce their consumption when the electric tariff is high during peak periods from 7 a.m. to 11.00 p.m. Depending on the program chosen by the consumers, monetary incentives will be rewarded. |
| first_indexed | 2024-10-01T02:40:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70930 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:40:49Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/709302023-07-07T16:34:45Z Data analytics for building management system using wireless metering infrastructure Neo, Sebastian Guang Jin So Ping Lam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report focuses on data analytics for building management system. Data from the smart meters is transmitted and collected in a database so that aggregators and utility companies can keep track and understand power consumption better. Using this system, aggregators will be able to come up with better demand response techniques, benefits and load shifting method that are commonly used in smart grids. Using the system, utility companies will know how much electricity they need to generate in different periods of a day so that there will not be over-generation. As the demand in electricity increases, generation companies try to meet the demands of customers without causing more harm to the environment. They do this by using different approaches to meet the expectations of the consumers more efficiently. This demand response approach makes use of technologies and incentives to encourage consumers to participate in the program by allowing users to keep track of their consumption and to reduce their consumption when the electric tariff is high during peak periods from 7 a.m. to 11.00 p.m. Depending on the program chosen by the consumers, monetary incentives will be rewarded. Bachelor of Engineering 2017-05-12T04:31:27Z 2017-05-12T04:31:27Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70930 en Nanyang Technological University 113 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Neo, Sebastian Guang Jin Data analytics for building management system using wireless metering infrastructure |
| title | Data analytics for building management system using wireless metering infrastructure |
| title_full | Data analytics for building management system using wireless metering infrastructure |
| title_fullStr | Data analytics for building management system using wireless metering infrastructure |
| title_full_unstemmed | Data analytics for building management system using wireless metering infrastructure |
| title_short | Data analytics for building management system using wireless metering infrastructure |
| title_sort | data analytics for building management system using wireless metering infrastructure |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/70930 |
| work_keys_str_mv | AT neosebastianguangjin dataanalyticsforbuildingmanagementsystemusingwirelessmeteringinfrastructure |