Author:
Serrano-Guerrero Xavier,Briceño-León Marco,Clairand Jean-Michel,Escrivá-Escrivá Guillermo
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference35 articles.
1. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network;Kong;IEEE Trans. Smart Grid,2019
2. Recent Advances in Load Forecasting Using Nonlinear Models;Rueda;Dyna,2011
3. A Robust Neural Network Filter for Electricity Demand Prediction;Connor;J. Forecast.,1996
4. J. Ahmad, H. Larijani, R. Emmanuel, M. Mannion, A. Javed, and M. Phillipson, “Energy demand prediction through novel random neural network predictor for large non-domestic buildings,” in 2017 Annual IEEE International Systems Conference (SysCon), Apr. 2017, pp. 1–6, doi: 10.1109/SYSCON.2017.7934803.
5. New artificial neural network prediction method for electrical consumption forecasting based on building end-uses;Escrivá-Escrivá;Energy Build.,2011
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献