Monthly electricity demand forecast for Provincial Electricity Authority using autoregressive integreted moving average (ARIMA) and artificial neural network (ANN): (Record no. 78508)
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| System control number | .b12116166 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.ET-11-24 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chonlapat Leewarinpanich |
| 245 10 - TITLE STATEMENT | |
| Title | Monthly electricity demand forecast for Provincial Electricity Authority using autoregressive integreted moving average (ARIMA) and artificial neural network (ANN): |
| Remainder of title | a case study of Chiangmai |
| 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. | 2011 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 66 leaves : |
| Other physical details | ill. + |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. ET-11-24 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.) - Asian Institute of Technology, 2011 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This study analyzes and forecasts monthly electricity demand for Provincial Electricity Authority in Chingmai with two approaches. They are Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN). The study focuses on monthly historical data of electricity consumption from 2003 to 2010. ARIMA method used in the study will use SPSS software. Artificial Neural Network (ANN) approach applied the multi - layer perceptron and backpropagation algorithm and MATLAB program has been used for the study. This study involves not only past electricity consumption pattern, but also local socio - economic and climatic factors influencing electricity demand in the model such as monthly average temperature, monthly average maximum temperature, monthly average minimum temperature, number of customers and Ft charge. According to the study, various error measures (MPE, MAPE, MAE and RMSE) are used to evaluate the model performance. All of the error measures confirm that forecasted consumption results from ANN are closer to the actual data than forecasted demand from ARIMA. The MPE, MAPE, MAE and RMSE of testing data from ARIMA model are - 2.42%, 4.53%, 9.16 and 12.28, respectively. The MPE, MAPE, MAE and RMSE of testing data from ANN model are - 0.21%, 1.91%, 3.58 and 4.68, respectively. Therefore, ANN is an attractive technique applied for electricity demand forecast in Chiangmai. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power consumptionr |
| Geographic subdivision | Thailand |
| -- | Chiang Mai |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Marpaung, Charles O.P., |
| Relator term | Chairperson |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Weerakorn Ongsakul, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Singh, Jai Govind, |
| Relator term | Examination Committee |
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| Corporate name or jurisdiction name as entry element | PEA, |
| Relator term | Scholarship donor |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology 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-11-24 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B02253">http://203.159.5.9/ait-thesis/detail.php?q=B02253</a> |
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| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 18/08/2026 | 6.60 | AIT Thesis no.ET-11-24 | 30050120602486 | 18/08/2026 | 1 | 18/08/2026 | 20-AIT Publication | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 18/08/2026 | 6.60 | AIT Thesis no.ET-11-24 | 30050120602494 | 18/08/2026 | 2 | 18/08/2026 | 20-AIT Publication | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.ET-11-24 | 30050120368088 | 18/08/2026 | 18/08/2026 | 40-Archives |

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