Self-Learning Algorithm to Predict Indoor Temperature and Cooling Demand from Smart WiFi Thermostat in a Residential Building
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- Fan, Cheng & Xiao, Fu & Zhao, Yang, 2017. "A short-term building cooling load prediction method using deep learning algorithms," Applied Energy, Elsevier, vol. 195(C), pages 222-233.
- Janet L. Reyna & Mikhail V. Chester, 2017. "Energy efficiency to reduce residential electricity and natural gas use under climate change," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
- Robert Lou & Kevin P. Hallinan & Kefan Huang & Timothy Reissman, 2020. "Smart Wifi Thermostat-Enabled Thermal Comfort Control in Residences," Sustainability, MDPI, vol. 12(5), pages 1-15, March.
- Nivine Attoue & Isam Shahrour & Rafic Younes, 2018. "Smart Building: Use of the Artificial Neural Network Approach for Indoor Temperature Forecasting," Energies, MDPI, vol. 11(2), pages 1-12, February.
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- Abdulelah D. Alhamayani & Qiancheng Sun & Kevin P. Hallinan, 2022. "An Improved Method to Estimate Savings from Thermal Comfort Control in Residences from Smart Wi-Fi Thermostat Data," Clean Technol., MDPI, vol. 4(2), pages 1-12, May.
- Abdulrahman Alanezi & Kevin P. Hallinan & Kefan Huang, 2021. "Automated Residential Energy Audits Using a Smart WiFi Thermostat-Enabled Data Mining Approach," Energies, MDPI, vol. 14(9), pages 1-23, April.
- Abdulrahman Alanezi & Kevin P. Hallinan & Rodwan Elhashmi, 2021. "Using Smart-WiFi Thermostat Data to Improve Prediction of Residential Energy Consumption and Estimation of Savings," Energies, MDPI, vol. 14(1), pages 1-16, January.
- Stefano Villa & Claudio Sassanelli, 2020. "The Data-Driven Multi-Step Approach for Dynamic Estimation of Buildings’ Interior Temperature," Energies, MDPI, vol. 13(24), pages 1-23, December.
- Song, Jiancai & Bian, Tianxiang & Xue, Guixiang & Wang, Hanyu & Shen, Xingliang & Wu, Xiangdong, 2023. "Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network," Applied Energy, Elsevier, vol. 348(C).
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Keywords
smart WiFi thermostats; back propagation neural network; long-short term memory; encoder-eecoder LSTM; demand management; energy savings;All these keywords.
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