Maliheh Haghgoo

Maliheh Haghgoo
RWTH Aachen University · E.ON Energy Research Center, Institute for Automation of Complex Power Systems

Doctor of Engineering

About

13
Publications
2,366
Reads
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41
Citations
Citations since 2017
13 Research Items
41 Citations
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
Additional affiliations
August 2017 - September 2017
RWTH Aachen University
Position
  • Research Associate
Education
October 2013 - May 2017
RWTH Aachen University
Field of study
  • Software System Engineering

Publications

Publications (13)
Article
Full-text available
ENTIRETY is an open-source web application that provides consistency for the devices in IoT platforms with a simple and unified way of governing and provisioning. This service primarily targets smart energy domain applications in a large-scale scenario but can be easily extended to support other domain-specific devices. To overcome the IoT diversit...
Article
Full-text available
In a modern smart energy system, the amount of available data from various sources is growing significantly. Other sectors such as medical or social sectors exhibit the same phenomenon. Due to the amount, complexity and heterogeneity of data, a complex algorithm is required for the integration and analysis of heterogeneous data sources. The Web of...
Article
Full-text available
In modern distribution grids, the access to the growing amount of data from various sources, the execution of complex algorithms on-demand, and the control of sparse actuators require on-demand scalability to support fluctuating workloads. Cloud computing technologies represent a viable solution for these requirements. To ensure that data can be ex...
Article
Full-text available
In a modern smart energy system with increased penetration of renewable energy resources, the amount of data from various sources is growing significantly. Such systems require complex algorithms and controlling on-demand. These requirements can be addressed with on-demand scalability and a stable system. Nowadays, on-demand scalability is achieved...
Article
Full-text available
The internet of things (IoT) is a paradigm where the fragmentation of standards, platforms, services, and technologies, often scattered among different vertical domains. Consequently, the smart energy system is one of the vertical domains in which IoT technology is investigated. At the early stages of studying the IoT domains that deal with big dat...
Article
Full-text available
Due to the increasing complexity of the global energy system and the amount of data transmitted by smart devices, there is an urgent need to unlock smart technologies and sendees with investments on the scalability of computational resources. This objective can be achieved by means of a standardized software platform that can support interoperabili...
Conference Paper
Full-text available
Nowadays, by the integration of the internet into many computational areas, smart energy automation and a reliable controlling system can be achieved by introducing the Internet of Things (IoT). As IoT becomes an active research area, different methods, and strategies from different points of view have been explored to promote the development and p...
Article
Full-text available
The integration of volatile, decentralized energy into building energy systems and electrical grids requires intelligent algorithms that are capable of controlling the augmented complexity and the interactions of subsystems efficiently. Not only do the algorithms require computing capacity, but also a feasible information and communication infrastr...
Conference Paper
Full-text available
Immersive data analytics as an emerging research topic in scientific and information visualization has recently been brought back into the focus due to the emergence of low-cost consumer virtual reality hardware. Previous research has shown the positive impact of im-mersive visualization on data analytics workflows, but in most cases insights were...

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