AI SearchBenefits of applying data analysis and machine learning to advanced metering infrastructure system (Record no. 11621)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03952nas a2200421 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817171303.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220616s2021 th uu m rtt 0 a eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12385670 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.ET-21-13 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Makara Greadmeta |
| 245 10 - TITLE STATEMENT | |
| Title | Benefits of applying data analysis and machine learning to advanced metering infrastructure system |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 243 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. ET-21-13 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Nowadays, electricity is one of the most important form of final energies and living without it is very difficult to imagine. For electrical energy market, the correct measurement of electricity consumption is essential for both providers and consumers. Therefore, the Advanced Metering Infrastructure system has been developed. It is an integrated system of meters, communications and data management systems that enables two-way communication between utilities and consumers in near real-time. According to these functionalities, the large and diverse datasets will be collected and stored much more than before. Only storing may not be useful so this study proposes several processes to leverage these consumption datasets for both utility and consumer aspects. Data analysis and machine learning have been selected to address all of the objectives by mainly using Python programming language. The results show that every proposed process can successfully provide benefits to both of them. For utility aspect, the developed distribution transformer monitoring system and the introduced meters phase-swapping algorithms can help reducing technical losses. Moreover, non technical losses can also be reduced by the developed electricity theft detection system based on machine learning classification algorithms. For consumer aspect, the proposed tariff changing evaluation process can provide suggestions to consumers individually in order to help reducing their electricity bills. The insights from the created consumption comparisons can also be provided to consumers for having more comprehension and useful information. Furthermore, the abnormal consumption data points can be identified by the developed anomaly detection system based on outlier detection algorithms. Finally, this study also presents the convenient solution to deliver aforementioned benefits to end-users by developing the Web Application. All of the proposed processes and solution by this study are suitable and can be adapted for any energy provider and consumer. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power distribution |
| General subdivision | Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric meters |
| General subdivision | Technological innovations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Singh, Jai Govind, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Salam, Abdul P., |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Weerakorn Ongsakul, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PEA-AIT Education Cooperation Project, |
| Relator term | Scholarship Donor |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Royal Thai Government Fellowship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. ET-21-13 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B16721">http://203.159.5.9/ait-thesis/detail.php?q=B16721</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12385670 |
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| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 240419 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 220616 |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 61-CD-ROM |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30020220006228 |
| CREATED | CREATED : 2022-03-06 |
| RECORD Id | RECORD # : i13381507 |
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| CREATED | CREATED : 2022-03-06 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.ET-21-13 | 30020220006228 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.ET-21-13 | 17/08/2026 | 17/08/2026 | 61-CD-ROM |