Prediction of Electricity Consumption Profiles Using Potential Polynomials of Degree One and Artificial Neural Networks in Smart Metering Infrastructure
This work analyzes methods and algorithms for predicting the behavior of electricity consumption based on neural networks using data obtained from the Advanced Measurement Infrastructure (AMI) of an educational institution. Also, a contrast between the use of conventional neural networks (ANN), wave...
| Auteurs principaux: | , , , |
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| Format: | Online |
| Langue: | eng |
| Publié: |
Universidad Pedagógica y Tecnológica de Colombia
2021
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| Sujets: | |
| Accès en ligne: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12772 |
