A Brief Overview of Recent Energy-Saving Researches in Smart Homes
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0605-5_5
Reference21 articles.
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3. Machorro-Cano, I., Alor-Hernández, G., Paredes-Valverde, M.A., Rodríguez-Mazahua, L., Sánchez-Cervantes, J.L., Olmedo-Aguirre, J.O.: HEMS-IoT: A big data and machine learning-based smart home system for energy saving. Energies 13(5), 1097 (2020)
4. Matsui, K., Yamagata, Y., Kawakubo, S.: Real-time sensing in residential area using IoT technology for finding usage patterns to suggest action plan to conserve energy. Energy Procedia 158, 6438–6445 (2019)
5. Chen, M.T., Lin, C.M.: Standby power management of a smart home appliance by using energy saving system with active loading feature identification. IEEE Trans. Consum. Electron. 65(1), 11–17 (2019)
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