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Residential demand response (DR) services have the great potential of growth, yet they are not adopted extensively. A comprehensive residential DR framework proposed in [2] connects utilities with DR participants via mobile apps, supports multiple DR programs, and enables fine-granulated control. In this paper, we focus on mathematical modeling and solutions for economically optimal operation for...
The enclosure is usually employed to protect the electronic devices or system against electromagnetic pulse (EMP). The sweeping method is recommended by technical standards to measure the shielding effectiveness (SE). In the frequency range concerned by most research in high-altitude electromagnetic pulse(HEMP), the sweeping method is not a fast way to acquire system shielding performance. Considering...
There has been a focus on the management of the complex engineering project. Firstly the organizational design elements that affect the decision making performance of a complex engineering project in the uncertain environment are analyzed. Then an agent-based model is proposed, in which the environmental uncertainty is represented with environmental complexity and turbulence. During modeling, a task...
Nowadays, numerous applications involving spatial data are emerging. While efficient management of tremendous spatial-temporal objects is a challenge due to the highly dynamic nature of the data, the demand for fast getting query results and minimum update cost. However, the query performance optimizations and the update cost minimizations cannot be achieved at the same time. In this paper, a novel...
It is very important for the military procurement departments to select supplier scientifically. The selection of suppliers has a direct impact on the efficiency of military materials procurement. This paper proposes the gray comprehensive evaluation model based on the analytic hierarchy process and the grey correlation analysis. Firstly, it describes the principle and steps of gray comprehensive...
In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized...
Modeling for operation rules is essential function requirement in equipment simulation training system based on VR. Aiming at the modeling actuality of present equipment operation rules, which has no systematic, no generality and no formatting expression, layered modeling system framework based on federation is brought forward referencing to the "Federation and Member" concept of HLA. Open...
In recent years, energy and environment issues are becoming more and more serious. As a country like China with largest architectural area in the world, it is especially significant to develop renewable energy in replacing conventional energy and practicing building energy consumption. Nowadays, the renewable energy software cannot analyze data for monitoring and forecasting. Thus, based on Visual...
In this paper, time series model of ARIMA is used to make short-term forecasting of property crime for one city of China. With the given data of property crime for 50 weeks, an ARIMA model is determined and the crime amount of 1 week ahead is predicted. The modelpsilas fitting and forecasting results are compared with the SES and HES. It is shown that the ARIMA model has higher fitting and forecasting...
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