@inproceedings{d6f1cebfbc354d8186b31c3532056e9c,
title = "Evaluation of data communication requirements for common demand response models",
abstract = "Demand response (DR) management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require data communication between different smart grid network components to work efficiently. In this paper, 31 contributions from literature are evaluated with respect to their data communication requirements. Although the analyzed proposals on DR models do not specify detailed requirements on network architecture, communication protocols, or Quality of Service, our analysis has clearly shown which links are mandatory for all models. It has also been shown on which network parts measures to ensure security and privacy have to be implemented, especially when specific DR algorithms are used. DR proposals which function with a minimum of data communication could be identified. {\textcopyright} 2015 IEEE.",
keywords = "Convolutional codes, Network architecture, Quality of service, Data-communication, Demand response, Future energies, Management IS, Models and algorithms, Security and privacy, Smart grid networks, Quality control",
author = "J. Schwarzer and D. Engel",
note = "Conference code: 112951 Cited By :2 Export Date: 14 December 2023 CODEN: 85RSA References: (2008) Assessment of Demand Response \& Advanced Metering, , http://www.ferc.gov/legal/staffreports/demand-response.pdf, Federal Energy Regulatory Commission, Staff Report AD06-2-000 Tech. Rep. 2006, revised; Kim, H., Kim, Y., Yang, K., Thottan, M., Cloudbased demand response for smart grid: Architecture and distributed algorithms (2011) Proc. IEEE Int Smart Grid Communications (SmartGridComm) Conf; Mert, W., Suschek-Berger, J., Tritthart, W., Consumer acceptance of smart appliances (2008) D5. 5 of WP5 Report of Smart-A Project; Schwarzer, J., Kiefel, A., Engel, D., The role of user interaction and acceptance in a cloud-based demand response model (2013) Proc. IEEE IECon 2013 Special Session on Energy Informatics, , Vienna, Austria; Patel, A., Aparicio, J., Tas, N., Loiacono, M., Rosca, J., Assessing communications technology options for smart grid applications (2011) Proc. 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year = "2015",
doi = "10.1109/ICIT.2015.7125279",
language = "English",
pages = "1311--1316",
booktitle = "2015 IEEE International Conference on Industrial Technology (ICIT)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
}
SDG 7 Affordable and Clean Energy