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One of the main challenges in smart city models is consumer behaviour, namely guiding the efforts to promote optimal use of energy in the dynamics of the developing cities, through lower energy consumption without impact on the comfort level. This relates to all energy vectors and can be done through different means. The uptake stage of smart metering and information and communication technologies (ICT) varies in different countries, creating the need for tailored innovative approaches in motivating behavioural change. This paper presents the work carried out within the joint research project ITCity (an ICT platform for sustainable energy ecosystem in smart cities) between the European Union and Latin American Countries. Cooperation of energy researchers and experts in ICT and application developers facilitates adoption of a multipurpose interdisciplinary approach. This work aims at providing the smart city and energy research and innovation community broader understanding of factors influencing adoption of energy efficiency technologies. Different ways of guiding optimal energy use are addressed elaborating on the building blocks for a smart city which consider load patterns based on high resolution, high reporting rate measurements, extensive consumer surveys, available communication solution analysis and end-user interaction with the ICT tool based on gamification principles.
Anna Mutule; Marcos Domingues; Fernando Ulloa-Vásquez; Dante Carrizo; Luis García-Santander; Ana-Maria Dumitrescu; Diego Issicaba; Lucas Melo. Implementing Smart City Technologies to Inspire Change in Consumer Energy Behaviour. Energies 2021, 14, 4310 .
AMA StyleAnna Mutule, Marcos Domingues, Fernando Ulloa-Vásquez, Dante Carrizo, Luis García-Santander, Ana-Maria Dumitrescu, Diego Issicaba, Lucas Melo. Implementing Smart City Technologies to Inspire Change in Consumer Energy Behaviour. Energies. 2021; 14 (14):4310.
Chicago/Turabian StyleAnna Mutule; Marcos Domingues; Fernando Ulloa-Vásquez; Dante Carrizo; Luis García-Santander; Ana-Maria Dumitrescu; Diego Issicaba; Lucas Melo. 2021. "Implementing Smart City Technologies to Inspire Change in Consumer Energy Behaviour." Energies 14, no. 14: 4310.
The electric power systems together with the entire energy sector are rapidly evolving towards a low-carbon, secure, and competitive economy facing revolutionary transformations from technical structure to economic value chain. Pathways to achieve sustainability led to the development of new technologies, accommodation of larger shares of unpredictable and stochastic electricity transfer from sources to end-users without loss of reliability, new business models and services, data management, and so on. The new technologies and incentives for local energy communities along with large development of microgrids are main forces driving the evolution of the low voltage energy sector changing the context and paradigm of rigid contractual binding between utilities and end-user customers (now progressing to flexible prosumers with generation and storage capabilities). The flexibility and operation of a prosumer can be enhanced by a non-intrusive time-frequency analysis of distorted power quality waveforms for both generation and demand at the point of common connection. Therefore, it becomes of importance to discriminate among successive quasi-steady-state operation of a given local system using only the aggregated waveforms information available in the PCC. This paper focuses on the Hilbert–Huang method with modifications such as empirical mode decomposition improved with masking signals based on the Fast Fourier Transform, Hilbert spectral analysis, and a post-processing method for separating components and their amplitudes and frequencies within distorted power signals for a low-voltage prosumer operation. The method is used for a time-frequency-magnitude representation with promising localization capabilities enabling efficient operation for prosumers.
Radu Plamanescu; Ana-Maria Dumitrescu; Mihaela Albu; Siddharth Suryanarayanan. A Hybrid Hilbert-Huang Method for Monitoring Distorted Time-Varying Waveforms. Energies 2021, 14, 1864 .
AMA StyleRadu Plamanescu, Ana-Maria Dumitrescu, Mihaela Albu, Siddharth Suryanarayanan. A Hybrid Hilbert-Huang Method for Monitoring Distorted Time-Varying Waveforms. Energies. 2021; 14 (7):1864.
Chicago/Turabian StyleRadu Plamanescu; Ana-Maria Dumitrescu; Mihaela Albu; Siddharth Suryanarayanan. 2021. "A Hybrid Hilbert-Huang Method for Monitoring Distorted Time-Varying Waveforms." Energies 14, no. 7: 1864.