Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23210-7_8
Reference31 articles.
1. Pieri, S.P., Tzouvadakis, I., Santamouris, M.: Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels’ CO$$_2$$ footprint. Energy Build. 94, 252–262 (2015)
2. Dalton, G.J., Lockington, D.A., Baldock, T.E.: Feasibility analysis of renewable energy supply options for a grid-connected large hotel. Renew. Energy. 34, 955–964 (2009)
3. Deng, S.M., Burnett, J.: Study of energy performance of hotel buildings in Hong Kong. Energy Build. 31, 7–12 (2000)
4. Papamarcou, M., Kalogirou, S.: Financial appraisal of a combined heat and power system for a hotel in Cyprus. Energy Convers. Manag. 42, 689–708 (2001)
5. Priyadarsini, R., Xuchao, W., Eang, L.S.: A study on energy performance of hotel buildings in Singapore. Energy Build. 41, 1319–1324 (2009)
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