Intelligent Buildings of the Future: Cyberaware, Deep Learning Powered, and Human Interacting

By Milos Manic, Kasun Amarasinghe, Juan Jose Rodríguez-Andina, Craig G. Rieger. 2016

99 citations recorded by the source corpus.

Subfields: Building and Construction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Ala Al-Fuqaha
2. M. Mohammadi
3. Mohsen Guizani
4. Sameh Sorour
5. Milos Manic
6. Daniel L. Marino
7. Kasun Amarasinghe
8. Ekram Hossain

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “[113] performed a comparison analysis of load forecasting for home energy consumption using three DL architectures, including LSTM, LSTM Sequenceto-Sequence (S2S) and CNN.”
• On-Line Building Energy Optimization Using Deep Reinforcement Learning (2017, unknown): “[30].”
• Deep neural networks for energy load forecasting (2017, background): “The advent of smart meters have made the energy consumption data available [11].”