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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Urgilés, Pablo, Inga-Ortega, Juan, Peralta, Arturo, Ortega, Andrés
التنسيق: Online
اللغة:eng
منشور في: Universidad Pedagógica y Tecnológica de Colombia 2021
الموضوعات:
الوصول للمادة أونلاين:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12772

مواد مشابهة