Evaluating Energy Consumption for Cyber-Physical Energy System: An Environment Ontology-Based Approach

Chen, Xiaohong; Gu, Fan; Chen, Mingsong; Du, Dehui; Liu, Jing; Sun, Heming

doi:10.1109/compsac.2015.114

Cited by 2 publications

(11 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many factors should be considered when designing a scheduling strategy, for example, the rooms, the users and the weather [1] [2]. Among all these factors, we argue the users factor is a very important one because the user actions such as arriving the building and leaving the building finally determine the total energy the users need.…”

Section: Introductionmentioning

confidence: 99%

“…In order to design such a system easily for the system designer, we make the stable part of the software system to be a Controller, and the changeable part a Scheduling strategy [1]. Many factors should be considered when designing a scheduling strategy, for example, the rooms, the users and the weather [1] [2].…”

Section: Introductionmentioning

confidence: 99%

“…In our previous work [1], the SMC based evaluation framework includes two parts, i.e., the system modeling, and the energy evalution. The system is modelled by a Network of Stochastic Hybrid Automata (NSHA), while each component of the system is modelled by an SHA.…”

Section: Introduction To Smc-based Evaluation Frameworkmentioning

confidence: 99%

“…Therefore, in this paper we propose an Support Vector Machine (SVM) [5] based approach to learn the relation between user actions and the best scheduling strategy, and use the relation learnt to predict the best scheduling strategy for specific building automatically. The sample set is acquired by applying our SMC based evaluation framework [1]. This is also because old buildings usually do not have any sensors to monitor its own running status.…”

Section: Introductionmentioning

confidence: 99%

“…The designers could choose one from them such as the one that consumes the least energy. Our previous work presents an Statistic Model Checking (SMC) based framework to evaluate the energy consumption [1] of each strategy. In that framework, user action is also one factor that is modelled by Stochastic Hybrid Automata (SHA).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Choosing the Best Strategy for Energy Aware Building System: an SVM-based Approach

Wang

Chen

Sun

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

Self Cite

View full text Add to dashboard Cite

Abstract-For many old buildings in the world, due to the legacy devices problem, it is hard to supply appropriate energy for them. In order to reduce the energy consumption of buildings under the premise of satisfying user requirements, we use software control systems whose core part is the scheduling strategy, to reconstruct them. It is time consuming to choose a good scheduling strategy due to many uncertain factors, among which user actions are of the most influence. In this paper, we propose an Support Vector Machine (SVM) based approach to explore the relation between user action and the best scheduling strategy of a control system. The main contributions include: (1) obtaining the sample set by collecting data at the model level using Statistical Model Checking (SMC) based method; (2) using SVM algorithm to learn the relation model between user actions and the best scheduling strategies; and (3) applying the relation model to predict a best scheduling strategy. Finally a real case study is conducted showing the efficiency of our approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introduction To Smc-based Evaluation Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Choosing the Best Strategy for Energy Aware Building System: an SVM-based Approach

Wang

Chen

Sun

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

Environment Modeling for Adaptive Systems: A Systematic Literature Review

Kneer,

Kamsties,

Schmid

2020

Preprint

View full text Add to dashboard Cite

Adaptive systems are an important research area. The dominant reason for adaptivity in systems are changes in the environment. Thus, it is an important question how to model the environment and how to determine the necessary information on this environment in the requirements engineering phase. [Question/ Problem] There is so far relatively little explicit study of the notion of environment models in software engineering research.[Principal ideas/ Results] In this paper, we present a systematic literature review with the goal to determine the state of the art in environment modeling for adaptive systems, in particular from a requirements perspective. We discuss the goals of the approaches, the modeling concepts, as well as the methodology aspects of environment modeling in our survey. [Contribution] As major result of our survey, we provide a meta-model of existing environment modeling concepts. As a negative finding -and a research opportunity -we find that so far methodological aspects of environment modeling have received very little attention.

show abstract

Evaluating Energy Consumption for Cyber-Physical Energy System: An Environment Ontology-Based Approach

Cited by 2 publications

References 19 publications

Choosing the Best Strategy for Energy Aware Building System: an SVM-based Approach

Choosing the Best Strategy for Energy Aware Building System: an SVM-based Approach

Environment Modeling for Adaptive Systems: A Systematic Literature Review

Contact Info

Product

Resources

About