A Concept for the Control, Monitoring and Visualization Center in Energy Lab 2.0

Düpmeier, Clemens; Stucky, Karl-Uwe; Mikut, Ralf; Hagenmeyer, Veit

doi:10.1007/978-3-319-25876-8_8

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…The new widened concept for the Big Data forecasting infrastructure-i.e. an extended view of the infrastructure presented in [21] and [22]-is depicted in Fig. 1.…”

Section: Big Data Forecasting Conceptmentioning

confidence: 99%

Concept and benchmark results for Big Data energy forecasting based on Apache Spark

et al. 2018

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“…The new widened concept for the Big Data forecasting infrastructure-i.e. an extended view of the infrastructure presented in [21] and [22]-is depicted in Fig. 1.…”

Section: Big Data Forecasting Conceptmentioning

confidence: 99%

Concept and benchmark results for Big Data energy forecasting based on Apache Spark

et al. 2018

Self Cite

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“…Hypervisor allocates the sufficient processing units and memories to each virtual machine [2]. Essentially, virtualization environments come in two forms: hosted virtualization form (Figure 2.a) and bare-metal also called native virtualization ( Figure 2.b) [11].…”

Section: Figure 1b Multiple Operating Systems Share Hardware Resourcesmentioning

confidence: 99%

“…Some researchers [1,2,3,4] have suggested that the use of virtualization technologies for hardware and software may enhance managing and controlling computer labs. Virtualization technology also offers many benefits for students, teachers and technical support teams in computer science fields.…”

Section: Introductionmentioning

confidence: 99%

Virtualization Environment for Computer Labs to Maintain Security, Stability and Availability

Alameen¹

2017

IJCA

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Academic organizations are supposed to seek certain balance between the concerns of security, stability and availability of shared computer labs to achieve the course learning objectives. Some academic activities in computer science courses require students to control and configure some laboratory devices. Students in advanced courses may use some risky applications for some learning activities. It may affect the stability, availability and security of the working nature in the shared lab and networks. Virtualization Platform has the ability to overcome these concerns to achieve learning objectives. Virtualization technologies allow students to access and control the computer settings as well as the working environment in advanced applications without affecting the operational availability of computer labs throughout the college day. Virtualization enables computer security teachers to train their students on many hands-on activities without exposing or causing damages to computer labs. This paper presents the usage of virtualization technology in such environment, the opportunities and benefits of using this technology in computer security oriented courses. The paper also discusses the use of the VMware workstation pro as a sandbox for risky lab activities in computer security courses. Here the Desktop Virtualization offers great opportunities to teach advanced skills in computer security courses. Also, this paper outlines the challenges and limitations of virtualization along with some recommendations to address these limitations.

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“…The gathered energy data is used for energy management and user interaction via a visualization. A large scale research environment to help answer questions of the "Energiewende" is presented in [8]. It contains a PHIL environment, an energy grid analysis laboratory, as well as a lab for visualization and control.…”

Section: E Similar Research Environmentsmentioning

confidence: 99%

Establishing a hardware-in-the-loop research environment with a hybrid energy storage system

Kochanneck

Mauser

Bohnet³

et al. 2016

2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)

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The KIT Energy Smart Home Lab is a smart residential building comprising building automation, metering systems, sensors, intelligent appliances, heating, ventilation, and airconditioning equipment, distributed generation, and energy storage systems. Currently, the lab is extended by a hybrid energy storage system and a linear voltage amplifier for real-time simulations, to facilitate fully functional power hardware-in-the-loop simulations and evaluations. This paper presents the setup of the lab, the hardwarein-the loop research environment, and first measurements when using a simulated artificial mains network.

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A Concept for the Control, Monitoring and Visualization Center in Energy Lab 2.0

Cited by 13 publications

References 17 publications

Concept and benchmark results for Big Data energy forecasting based on Apache Spark

Concept and benchmark results for Big Data energy forecasting based on Apache Spark

Virtualization Environment for Computer Labs to Maintain Security, Stability and Availability

Establishing a hardware-in-the-loop research environment with a hybrid energy storage system

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