@inproceedings{d8cf25f02a9a4deabea0a9c47048cb60,
title = "Optimizing Neural Network Hyperparameters with Swarm Intelligences for Commercial Buildings Load Classification",
abstract = "Advanced metering systems are crucial in smart grids for analyzing collected data with high accuracy, efficient control, and planning of energy demand and supplies. Therefore, an adaptable automated process is essential for classifying different types of building loads for the smart grid to comprehend their consumption pattern. In this paper, a method is suggested for the load classification of commercial buildings to improve classification accuracy with swift execution and less computational burden, unlike deep learning techniques. Moreover, using a neural network with the optimally selected hyperparameter leads to remarkable performance as the neural network's performance depends heavily on its hyperparameters.",
keywords = "Commercial building, Hyperparameter tuning, Load Classification, Load profiling, Particle search optimization, Random search",
author = "Akshay Gupta and Rahul Singhal and Rajesh Kumar",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE India Council International Conference, INDICON 2021 ; Conference date: 19-12-2021 Through 21-12-2021",
year = "2021",
doi = "10.1109/INDICON52576.2021.9691581",
language = "English",
series = "Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021",
address = "United States",
}