Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Farzad Dadras Javan & Italo Aldo Campodonico Avendano & Behzad Najafi & Amin Moazami & Fabio Rinaldi, 2023. "Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses," Energies, MDPI, vol. 16(14), pages 1-15, July.
- Nweye, Kingsley & Nagy, Zoltan, 2022. "MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering," Applied Energy, Elsevier, vol. 316(C).
- Amasyali, Kadir & El-Gohary, Nora M., 2021. "Real data-driven occupant-behavior optimization for reduced energy consumption and improved comfort," Applied Energy, Elsevier, vol. 302(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Sun, Hongchang & Niu, Yanlei & Li, Chengdong & Zhou, Changgeng & Zhai, Wenwen & Chen, Zhe & Wu, Hao & Niu, Lanqiang, 2022. "Energy consumption optimization of building air conditioning system via combining the parallel temporal convolutional neural network and adaptive opposition-learning chimp algorithm," Energy, Elsevier, vol. 259(C).
- Łukasz Amanowicz, 2021. "Peak Power of Heat Source for Domestic Hot Water Preparation (DHW) for Residential Estate in Poland as a Representative Case Study for the Climate of Central Europe," Energies, MDPI, vol. 14(23), pages 1-15, December.
- Barbara Widera, 2024. "Energy and Carbon Savings in European Households Resulting from Behavioral Changes," Energies, MDPI, vol. 17(16), pages 1-36, August.
- Du, Feng & Yue, Hong & Zhang, Jiangfeng, 2023. "Influence of advertisement control to residential energy savings in large networks," Applied Energy, Elsevier, vol. 333(C).
- Gao, Datong & Kwan, Trevor Hocksun & Hu, Maobin & Pei, Gang, 2022. "The energy, exergy, and techno-economic analysis of a solar seasonal residual energy utilization system," Energy, Elsevier, vol. 248(C).
- Zhou, Ying & Wang, Yu & Li, Chenshuang & Ding, Lieyun & Yang, Zhigang, 2024. "Energy-efficiency oriented occupancy space optimization in buildings: A data-driven approach based on multi-sensor fusion considering behavior-environment integration," Energy, Elsevier, vol. 299(C).
- Martin Stöckl & Johannes Idda & Volker Selleneit & Uwe Holzhammer, 2023. "Flexible Operation to Reduce Greenhouse Gas Emissions along the Cold Chain for Chilling, Storage, and Transportation—A Case Study for Dairy Products," Sustainability, MDPI, vol. 15(21), pages 1-27, November.
- Brudermueller, Tobias & Kreft, Markus & Fleisch, Elgar & Staake, Thorsten, 2023. "Large-scale monitoring of residential heat pump cycling using smart meter data," Applied Energy, Elsevier, vol. 350(C).
- Dharmesh Dhabliya & Rajasoundaran Soundararajan & Parthiban Selvarasu & Maruthi Shankar Balasubramaniam & Anand Singh Rajawat & S. B. Goyal & Maria Simona Raboaca & Traian Candin Mihaltan & Chaman Ver, 2022. "Energy-Efficient Network Protocols and Resilient Data Transmission Schemes for Wireless Sensor Networks—An Experimental Survey," Energies, MDPI, vol. 15(23), pages 1-33, November.
- Xu, Xiaoxiao & Yu, Hao & Sun, Qiuwen & Tam, Vivian W.Y., 2023. "A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
- Luis Gomes & António Coelho & Zita Vale, 2022. "Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey," Energies, MDPI, vol. 16(1), pages 1-16, December.
More about this item
Keywords
smart building; machine learning; ramp-up duration estimation; warehouse HVAC load; energy optimization;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4401-:d:1470159. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.