Deep learning for estimating building energy consumption
Top Cited Papers
- 1 June 2016
- journal article
- Published by Elsevier BV in Sustainable Energy, Grids and Networks
- Vol. 6, 91-99
- https://doi.org/10.1016/j.segan.2016.02.005
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Forecasting Time Series With Complex Seasonal Patterns Using Exponential SmoothingJournal of the American Statistical Association, 2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Artificial neural networks for energy analysis of office buildings with daylightingApplied Energy, 2010
- Artificial intelligence for energy conservation in buildingsAdvances in Building Energy Research, 2010
- Reservoir computing approaches to recurrent neural network trainingComputer Science Review, 2009
- Learning Deep Architectures for AIFoundations and Trends® in Machine Learning, 2008
- Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sectorApplied Energy, 2007
- Artificial neural networks in energy applications in buildingsInternational Journal of Low-Carbon Technologies, 2006
- Training Products of Experts by Minimizing Contrastive DivergenceNeural Computation, 2002
- Robust estimation and outlier detection with correlation coefficientsBiometrika, 1975