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Smart city article details
| Title | Smart Energy-Aware Cities: Customer Characterization By Energy Data Analytics To Improve Demand Response Performance |
|---|---|
| ID_Doc | 50851 |
| Authors | Kojury-Naftchali M.; Fereidunian A. |
| Year | 2021 |
| Published | Flexible Resources for Smart Cities |
| DOI | http://dx.doi.org/10.1007/978-3-030-82796-0_2 |
| Abstract | Energy-awareness helps smart cities to comprehend the amount, value, usage, and impacts of the energy they consume. In micro approach to energy awareness, citizens as customers are provided with their energy consumption data, to enable them to have a deeper insight on their consumption behavior and to manage it, in order to response to the changing environment and energy system requirements. Improvement of the customers' awareness about their consumption behavior and price signals results in better decision-making about consumption behaviors to meet both customers' welfare and economic considerations. In macro approach, on the other hand, energy awareness empowers the energy management system (EMS) to effectively manage the energy system as a whole. A communication infrastructure is needed for information sharing between the EMS and the customers. In recent years, smart meters equipped with communication devices are installed on customers' premises, to reach this goal. Advanced metering infrastructure (AMI) is a technology including the smart meters at customers' premises and the relevant communication system and is introduced to enhance data gathering and transferring in the energy systems. AMI is able to provide a suitable infrastructure in which different types of data are transferred, leading to energy awareness enhancement. This chapter concerns investigation of energy awareness effects on implementation of demand response programs. Energy awareness leads to better participation of customers in the demand-side management (DSM) programs and make it more efficient. Moreover, customers' energy consumption data provided by the AMI system is a valuable data repository for data analytics purposes. Customer data analytics may result in customers' characterization, which in turn reveals their capabilities for participating in demand response (DR) and DSM programs. Analysis of customers' consumption behaviors and their relation to price signals indicates that the customers with different consumption behaviors do not have the same capability for participating in demand response programs. The perceived knowledge about this customers' DR participation capability is a result of energy awareness. © Springer Nature Switzerland AG 2021. |
| Author Keywords | Advanced metering infrastructure; Customer behavior; Demand response; Demand-side management; Energy awareness |
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