Energy saving of buildings for reducing carbon dioxide emissions using novel dendrite net integrated adaptive mean square gradient
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DOI: 10.1016/j.apenergy.2021.118409
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Cited by:
- Yaping Wu & Xiaolong Wu & Yuanwu Xu & Yongjun Cheng & Xi Li, 2023. "A Novel Adaptive Neural Network-Based Thermoelectric Parameter Prediction Method for Enhancing Solid Oxide Fuel Cell System Efficiency," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
- Xuemei Zhang & Jiawei Hu & Suqin Sun & Guohu Qi, 2022. "Extended Warranty Strategy and Its Environment Impact of Remanufactured Supply Chain," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
- Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
- Es-sakali, Niima & Charai, Mouatassim & Idrissi Kaitouni, Samir & Ait Laasri, Imad & Mghazli, Mohamed Oualid & Cherkaoui, Moha & Pfafferott, Jens & Ukjoo, Sung, 2023. "Energy efficiency and hygrothermal performance of hemp clay walls for Moroccan residential buildings: An integrated lab-scale, in-situ and simulation-based assessment," Applied Energy, Elsevier, vol. 352(C).
- Gang Liu & Yajing Pang & Shuai Yin & Xiaoke Niu & Jing Wang & Hong Wan, 2022. "Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification," Mathematics, MDPI, vol. 10(23), pages 1-14, November.
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Keywords
Energy saving; Energy efficiency; Neural network; Dendrite net; Adaptive mean square gradient; Buildings;All these keywords.
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