Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review

Onile, Abiodun Emmanuel; Machlev, Ram; Petlenkov, Eduard; Levron, Yoash; Belikov, Juri

doi:10.1016/j.egyr.2021.01.090

Cited by 111 publications

(43 citation statements)

References 121 publications

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“…First, AI-based programs are able to include changes in the meteorological, social or economic context in their prediction models, resulting in more accurate short-term load forecasting (Zor et al, 2017;Al Mamun et al, 2020;Solyali, 2020), used by SOs for net balancing (Park et al, 1991;Kirby, 2005). Second, AI can improve long-term load forecasting, used by SOs to identify future bottlenecks and thus investment opportunities in the electricity grid (Park et al, 1991), by analyzing and "testing" the effectiveness of different investments before they are implemented, using digital twins (Onile et al, 2021).…”

Section: Opportunities Of Ai For System Operatorsmentioning

confidence: 99%

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

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Est

Veraart

2021

Front. Artif. Intell.

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The Proposal for an Artificial Intelligence Act, published by the European Commission in April 2021, marks a major step in the governance of artificial intelligence (AI). This paper examines the significance of this Act for the electricity sector, specifically investigating to what extent the current European Union Bill addresses the societal and governance challenges posed by the use of AI that affects the tasks of system operators. For this we identify various options for the use of AI by system operators, as well as associated risks. AI has the potential to facilitate grid management, flexibility asset management and electricity market activities. Associated risks include lack of transparency, decline of human autonomy, cybersecurity, market dominance, and price manipulation on the electricity market. We determine to what extent the current bill pays attention to these identified risks and how the European Union intends to govern these risks. The proposed AI Act addresses well the issue of transparency and clarifying responsibilities, but pays too little attention to risks related to human autonomy, cybersecurity, market dominance and price manipulation. We make some governance suggestions to address those gaps.

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Section: Opportunities Of Ai For System Operatorsmentioning

confidence: 99%

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

Niet

Est

Veraart

2021

Front. Artif. Intell.

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“…In the final list multiple articles highlight applications of DT in smart grids [68,[123][124][125][126][127][128][129][130]. In fact, smart grid is an energy infrastructure.…”

Section: Rq1_applications and Impactmentioning

confidence: 99%

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

2021

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In the industry 4.0 era, the Smart Energy System (SES) should be able to address the emerging challenges of digitization and socioeconomic/ecologic transition along with other critical entities of the society. However, because of the complexity of this system, both researchers and practitioners are seeking an agile and smart solution. The main motive of this review is to investigate the applications and implementation of Digital Twin (DT) in the provision of energy services. Research Questions (RQ) of this study include: RQ1: What are the applications of DT in SES and how effective is DT in that use case of EIoT? RQ2: Which issues of an SES can be addressed efficiently by using DT? Through answering the mentioned questions, the current study is heading to following objectives (O), O1: Describe the state of the art of DT in SES. O2: Develop a direction for energy 4.0 management through listing the applications, challenges and important factors of implementing DTs. O3: Provide a list of various approaches in employing DT in the scope of SES. The current study is a systematic literature review (SLR), based on SCOPUS, WOS and IEEE digital libraries. Two keywords (namely “Digital Twin” and “Energy Systems”) have been first used. To achieve the final list of articles, 2 levels of screening have been conducted. The first Screening was based on the relevance of the results concerning research objectives. The second screening was an abstract study. The exclusion/inclusion criteria in the abstract study were based on the research questions. The papers that have the potential of answering one of the research questions have been included. Since the implementation of DT is a rather new topic, both backward snowballing and forward snowballing strategies are implemented to finalize the article selection phase. 60 articles identified by searching through scientific databases and 11 articles have been appended to the list during the snowballing process. The results of the current review provide a managerial guideline for practitioners that are heading to utilize DT, along with an anthology of DT within SES scope to feed possible future studies.

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“…The renewable energy sector is developing rapidly through the use of intelligent technologies such as Big Data, Digital Twin (DT), the Internet of Things (IoT), or Artificial Intelligence (AI). These digital technologies enable renewable energy companies to significantly improve their operations [54,55]. Empirical studies indicate that innovative technologies, especially digitization tools, are crucial in creating the right solutions for energy efficiency [56].…”

Section: Directions Of Strategic Development Of the Energy Market In Poland Versus Expectations In Terms Of Employee Competenciesmentioning

confidence: 99%

Employer Expectations Regarding the Competencies of Employees on the Energy Market in Poland

et al. 2021

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It is because of competencies that there is a possibility of ensuring the strategic safety of each country when it comes to energy security. With the vast development of IT and teamwork, there are various competencies needed in the whole energy sector. The aim of this study is to assess the needs of competencies in the Polish energy labor market as well as the trends among hard ad soft skills also in the context of renewable energy sources. Within an exploratory approach, 245 job advertisements were analyzed using various tools, including general descriptive statistics, Shapiro-Wilk, Kruskal–Wallis H and Mann–Whitney U tests, as well as Spearman’s Rho. The research confirmed that teamwork and MS Office are crucial demands of employers. It is also important that the market is diverse when it comes to competence demands, but soft skills are needed in every position, even purely technical ones.

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Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review

Cited by 111 publications

References 121 publications

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

Employer Expectations Regarding the Competencies of Employees on the Energy Market in Poland

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