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2020
DOI: 10.3390/en13092334
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Open Data and Energy Analytics

Abstract: This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.

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Cited by 10 publications
(5 citation statements)
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“…Much of these data, as a process, are private and not easily available to the public. Energy engineers and planners must provide the simplest and most powerful tools to collect, process, and analyze data to provide reliable data-based evidence for building, district, and regional-scale future projections for effective system planning [32]. Therefore, this collection, processing, and analysis of data is ultimately presented in terms of total carbon emissions (kgCO 2 e) and carbon emissions per unit area (kgCO 2 e/m 2 ), and these data can be used as open data to contribute to the political, social and economic development of a country [33].…”
Section: Research Purpose and Advantagesmentioning
confidence: 99%
“…Much of these data, as a process, are private and not easily available to the public. Energy engineers and planners must provide the simplest and most powerful tools to collect, process, and analyze data to provide reliable data-based evidence for building, district, and regional-scale future projections for effective system planning [32]. Therefore, this collection, processing, and analysis of data is ultimately presented in terms of total carbon emissions (kgCO 2 e) and carbon emissions per unit area (kgCO 2 e/m 2 ), and these data can be used as open data to contribute to the political, social and economic development of a country [33].…”
Section: Research Purpose and Advantagesmentioning
confidence: 99%
“…An example of such work is the Public Utility Data Library (PUDL). A few isolated initiatives have started in recent years, such as the special issues of some journals (Nastasi et al 2020, Nastasi et al 2021) but they do not yet yield a comprehensive publishing strategy in the field. Also, going beyond descriptive data collections, we see a need for benchmark data that can be used to train machine learning algorithms applied to energy research.…”
Section: Outlook For the Energy Gatewaymentioning
confidence: 99%
“…Anyway, the privacy concerns arising for residential users do not apply to public buildings and facilities. Contrarily, the public disclosure of this data can become a great advantage for both the society and public institutions [1,22,23].…”
Section: State Of the Artmentioning
confidence: 99%
“…The public institution's transparency in pursuing policies coherent with their sustainable development goals can be highly increased if the energy consumption and/or production of these buildings or facilities is automatically and publicly shared on a secure and reliable platforms [1], allowing, on the other hand, to verify the results of the investments made in that direction. In addition, this data-set can be monitored by citizens and shareholders, which can identify critical issues and suggest possible improvements.…”
Section: Introduction 1motivationmentioning
confidence: 99%