Sustainable Development with Smart Meter Data Analytics Using NoSQL and Self-Organizing Maps

Simona-Vasilica Oprea, Adela Bâra, Bogdan George Tudorică and Gabriela Dobrița (Ene)
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Simona-Vasilica Oprea: Department of Economic Informatics and Cybernetics, The Bucharest University of Economic Studies, Piaţa Romană square, 010374 Bucharest, Romania
Adela Bâra: Department of Economic Informatics and Cybernetics, The Bucharest University of Economic Studies, Piaţa Romană square, 010374 Bucharest, Romania
Bogdan George Tudorică: Department of Cybernetics, Economic Informatics, Finance and Accountancy, Petroleum-Gas University of Ploiești, Bucureşti avenue, 100279 Ploiești, Romania
Gabriela Dobrița (Ene): Department of Economic Informatics and Cybernetics, The Bucharest University of Economic Studies, Piaţa Romană square, 010374 Bucharest, Romania

Sustainability, 2020, vol. 12, issue 8, 1-30

Abstract: The smart metered electricity consumption data and high dimensional questionnaires provide useful information for designing the tariffs aimed at reducing electricity consumption and peak. The volume of data generated by smart meters for a sample of around four thousand residential consumers requires Not only Structured Query Language (NoSQL) solutions, data management and artificial neural network clustering algorithms, such as Self-Organizing Maps. In this paper, we propose a novel methodology that handles a large volume of data and extracts information from electricity consumption measured at 30 min and from complex questionnaires. Five three-level Time-of-Use tariffs are altered and investigated to minimize the consumers’ payment. Then, input data analysis revealed that the peak consumption is influenced by a segment of consumers that can be targeted to flatten the peak. Based on simulations, more than 23% of the peak consumption can be reduced by shifting it from peak to off-peak hours.

Keywords: NoSQL; self-organizing maps; smart meters; electricity consumption; questionnaire (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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