Load Disaggregation Based on Time Window for HEMS Application
| Autor: | Thales Wulfert Cabral, Dimas Augusto Mendes Lemes, Gustavo Fraidenraich, Fernando Bauer Neto, Eduardo Rodrigues de Lima, Luis Geraldo P. Meloni |
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| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science 020209 energy Decision tree 02 engineering and technology computer.software_genre machine learning algorithms 0202 electrical engineering electronic engineering information engineering General Materials Science Artificial intelligence in power systems HEMS PCA business.industry 020208 electrical & electronic engineering General Engineering Process (computing) AC power Automation TK1-9971 Random forest Temporal database Task (computing) load disaggregation Table (database) time window Electrical engineering. Electronics. Nuclear engineering Data mining business computer |
| Zdroj: | IEEE Access, Vol 9, Pp 70746-70757 (2021) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2021.3078340 |
| Popis: | This work investigates the efficiency of the process of load disaggregation, considering only the values of active power. To perform the task, we use data collected from the NILM (Non-Intrusive Load Monitoring) measurement method, presented in the Rainforest Automation Energy Dataset (RAE) and Reference Energy Disagreggation Dataset (REDD) database. A strategy of assigning labels using combinations of equipment in use, by status ON/OFF, and also by choosing an appropriate temporal data window is discussed. Also, the performance of very well-known machine learning algorithms such as k-Nearest Neighbor (kNN), Decision Tree, and Random Forest are evaluated. The results show a very efficient and low computer complexity strategy presenting values of F1-Score above 95%, for RAE and REDD database. As presented in table I, the proposed approach presents the highest F1-Score, compared to other methods in the literature, considering all appliances in the REDD database. The greatest benefit of the approach consists in the possibility of applying the disaggregation process in a household without smart outlets, under the restriction that the training and test houses hold identical or similar appliances. |
| Databáze: | OpenAIRE |
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