Big Data for Energy Management and Energy-Efficient Buildings

Abstract

European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim of this paper is to present a high-level data-driven architecture for buildings data exchange, management and real-time processing. This multi-disciplinary big data environment enables the integration of cross-domain data, combined with emerging artificial intelligence algorithms and distributed ledgers technology. Semantically enhanced, interlinked and multilingual repositories of heterogeneous types of data are coupled with a set of visualization, querying and exploration tools, suitable application programming interfaces (APIs) for data exchange, as well as a suite of configurable and ready-to-use analytical components that implement a series of advanced machine learning and deep learning algorithms. The results from the pilot application of the proposed framework are presented and discussed. The data-driven architecture enables reliable and effective policymaking, as well as supports the creation and exploitation of innovative energy efficiency services through the utilization of a wide variety of data, for the effective operation of buildings.

A comprehensive review on green buildings research: bibliometric analysis during 1998–2018

“…However, it must be noted that although big data can quantitatively represent human behavior, it cannot determine what motivates it. With the convergence of big data and technology, there are unprecedented applications in the field of green building for the improved indoor living environment and controlled energy consumption (Marinakis 2020 ).…”

Optimization of Energy-Efficient Functioning of the Oil and Gas Sector of the Economy Through Digitalization and Resource Conservation

“…The dynamically developing world economy is accompanied by qualitative changes, which requires from science and practice new approaches to the management of technological processes, industrial enterprises, and complexes. The works of foreign researchers are devoted to the issues of energy efficiency, reflecting the investment aspect of rationalizing energy consumption (Ayres et al, 2013), modeling the dependence of energy efficiency on external factors, impact assessment based on the Efficient reliability index (Barzegar et al, 2020), "Rebound effect" in ensuring energy efficient industrial production (Bongers, 2020), social aspect of energy saving development (Dunlop, 2019), solutions to optimize production to minimize energy costs (Gong et al, 2015), directions for improving energy efficiency and decarbonization of the machinebuilding industry (Kanchiralla et al, 2020), a systematic approach to energy efficiency and organizational culture of the enterprise (Koenig, 2020), energy management of buildings and structures (Marinakis, 2020). The works of Russian scientists have also made a significant contribution to solving the issues of increasing the energy efficiency of industrial enterprises.…”

An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

“…The lean refers to create more value for consumers with fewer resources [46]. Besides this concept, the intelligent energy management concept was also applied to buildings in the last period [49][50][51]. A detailed review of the studies that developed data-driven building energy consumption prediction models based on the intelligent algorithms (machine learning) is presented in [51].…”