A comprehensive information platform for the Smart Grid

Kienesberger, Georg; Meisel, Marcus; Adegbite, Adedayo

doi:10.1109/afrcon.2011.6072150

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…In order to enable such decisions without preventing the customer from using e-mobility at all, a trusted instance allowing for fine-grained access control, like the Smart Web Grid framework [24] is needed. Here, a service-oriented architecture incorporating a public key infrastructure and employing standards like for instance the eXtensible Access Control Markup Language (XACML) is used as a basis for a holistic information platform enabling strongly encrypted, authenticated and authorised data exchange between arbitrary stakeholders in the Smart Grid [25].…”

Section: B Discussion On Solutionsmentioning

confidence: 99%

Privacy issues of smart e-mobility

Langer

Skopik

Kienesberger

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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The increasing adoption of Smart Grids brings about significant benefits such as enhanced efficiency and sustainability, but entails also severe threats to consumer privacy due to the possibility of establishing detailed user profiles. Existing efforts mostly focus on privacy issues in Smart Metering. However, the Smart Grid contains other important use cases whose privacy challenges have not received much attention to date. In this paper we aim to raise awareness for privacy issues in e-mobility, which will be a cornerstone application of the future Smart Grid. In particular, we study in detail the properties of privacy-relevant e-mobility use cases, the actors involved in those scenarios, and the data they exchange as part of their interaction. We investigate to which extent existing solutions can be applied to address emerging privacy challenges in e-mobility, and propose privacy-aware design patterns.

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Section: B Discussion On Solutionsmentioning

confidence: 99%

Privacy issues of smart e-mobility

Langer

Skopik

Kienesberger

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Self Cite

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“…Comprehensive information models for intelligent energy systems and related domains as well as efficient, innovative communication architectures for secure data transmission were investigated in [19] and [20].…”

Section: Bruckner Et Al Showed Inmentioning

confidence: 99%

Improving energy efficiency of buildings using data mining technologies

Zucker

Malinao

Habib

et al. 2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Building automation systems record operation data including physical values, system states and operation conditions. This data is stored, but commonly not automatically evaluated. This historic data is the key to efficient operation and to quick recognition of errors and inefficiencies, a potential that is not exploited today. Instead, today the evaluation during operation delivers only alarming in case of system failures. Analysis is commonly done by the facility manager, who uses his experience to interpret data. Methods from data mining and data analysis can contribute to a better understanding of building operation and provide the necessary information to optimize operation, especially in the area of Heating, Ventilation and Air Conditioning (HVAC) systems. Increases in energy efficiency and can be achieved by automated data analysis and by presenting the user energy performance indicators of all relevant HVAC components. The authors take a first step to examine operation data of adsorption chillers using the X-Means algorithm to automate the detection of system states.

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