Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network
The next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the Classification and Regression Tree (CART) with pruning conditions and a Deep Belief Network (DBN) to improve fore...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9611228/ |
| _version_ | 1818927814749978624 |
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| author | Pyae Pyae Phyo Chawalit Jeenanunta |
| author_facet | Pyae Pyae Phyo Chawalit Jeenanunta |
| author_sort | Pyae Pyae Phyo |
| collection | DOAJ |
| description | The next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the Classification and Regression Tree (CART) with pruning conditions and a Deep Belief Network (DBN) to improve forecasting accuracy. The CART can recognize the load patterns by classifying similar groups with low variance, thus reducing the complexity of the forecasting model. The actual 48-period load data from the Electricity Generating Authority of Thailand (EGAT) is used. The proposed model is compared with six widely used standalone forecasting benchmark models and provides better at the minimum 0.46% mean absolute percentage error. Moreover, the forecasting performance of DBN and the other four benchmark models are improved by using our hybrid approach. |
| first_indexed | 2024-12-20T03:19:00Z |
| format | Article |
| id | doaj.art-8b0ff91b3ffb46669facc8a72795cf27 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T03:19:00Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8b0ff91b3ffb46669facc8a72795cf272022-12-21T19:55:16ZengIEEEIEEE Access2169-35362021-01-01915222615224210.1109/ACCESS.2021.31272119611228Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief NetworkPyae Pyae Phyo0https://orcid.org/0000-0001-7864-2044Chawalit Jeenanunta1https://orcid.org/0000-0002-1932-9776School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, ThailandSchool of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, ThailandThe next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the Classification and Regression Tree (CART) with pruning conditions and a Deep Belief Network (DBN) to improve forecasting accuracy. The CART can recognize the load patterns by classifying similar groups with low variance, thus reducing the complexity of the forecasting model. The actual 48-period load data from the Electricity Generating Authority of Thailand (EGAT) is used. The proposed model is compared with six widely used standalone forecasting benchmark models and provides better at the minimum 0.46% mean absolute percentage error. Moreover, the forecasting performance of DBN and the other four benchmark models are improved by using our hybrid approach.https://ieeexplore.ieee.org/document/9611228/Classification and regression tree (CART)daily load forecastingdeep belief network (DBN)forecasting accuracypruned-CART |
| spellingShingle | Pyae Pyae Phyo Chawalit Jeenanunta Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network IEEE Access Classification and regression tree (CART) daily load forecasting deep belief network (DBN) forecasting accuracy pruned-CART |
| title | Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network |
| title_full | Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network |
| title_fullStr | Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network |
| title_full_unstemmed | Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network |
| title_short | Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network |
| title_sort | daily load forecasting based on a combination of classification and regression tree and deep belief network |
| topic | Classification and regression tree (CART) daily load forecasting deep belief network (DBN) forecasting accuracy pruned-CART |
| url | https://ieeexplore.ieee.org/document/9611228/ |
| work_keys_str_mv | AT pyaepyaephyo dailyloadforecastingbasedonacombinationofclassificationandregressiontreeanddeepbeliefnetwork AT chawalitjeenanunta dailyloadforecastingbasedonacombinationofclassificationandregressiontreeanddeepbeliefnetwork |