Cargando…
Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
Smart grids and smart homes are getting people’s attention in the modern era of smart cities. The advancements of smart technologies and smart grids have created challenges related to energy efficiency and production according to the future demand of clients. Machine learning, specifically neural ne...
Autores principales: | Shaikh, Abdul Khalique, Nazir, Amril, Khan, Imran, Shah, Abdul Salam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799709/ https://www.ncbi.nlm.nih.gov/pubmed/36581655 http://dx.doi.org/10.1038/s41598-022-26499-y |
Ejemplares similares
-
Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients
por: Nazir, Amril, et al.
Publicado: (2022) -
Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention
por: Nazir, Amril, et al.
Publicado: (2023) -
A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models
por: Alfi, Iftiaz A., et al.
Publicado: (2022) -
Evaluation of interpretability methods for multivariate time series forecasting
por: Ozyegen, Ozan, et al.
Publicado: (2021) -
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model
por: Rathipriya, R., et al.
Publicado: (2022)