Data-driven analytics—in areas ranging from consumer marketing to public policy—often allow behavior prediction at the level of individuals rather than population segments, offering the opportunity to improve decisions that impact large populations. Modeling such (generalized) assignment problems as linear programs, we propose a general value-directed compression technique for solving such prob...

4 The purpose of this article is to show how the multivariate structure (the ”shape” of the dis5 tribution) can be separated from the marginal distributions when generating scenarios. To do 6 this we use the copula. As a result, we can define combined approaches that capture shape with 7 one method and handle margins with another. In some cases the combined approach is exact, in 8 other cases, ...

We describe an opportunity to speed up multi-stage scenario generation and reduction using a combination of two well known methods: the moment matching method (Høyland and Wallace 2001) and the method for scenario reduction to approximately minimize a metric (Heitsch and Römish 2009). Our suggestions is to combine them rather than using them in serial by making use of a stage-wise approximation...

escalating development of tourism and petroleum industries in small islands such as lavan-iranrequires sound solid waste management. in the present investigation, three scenarios which consist of thecombination of landfill, recycling, incineration and composting and their environmental impacts have beenevaluated for 7514 kg/day of waste generation in lavan island. for this purpose, life cycle a...

The next generation mobile communication system will be a service-driven developed system capable to realize the human-centric mobile convergence services. In this paper, we propose the next generation mobile convergence service business model creation methodology based on our previous research results (e.g., the 2SAP framework) on the next generation mobile services [1], [2]. To achieve this g...

Connections of distributed generation (DG) in distribution networks are increasing. These connections of distributed generation cause voltage rise in the distribution network. This paper presents a detail analysis of how does voltage rise on distribution network due to the penetration of distributed generation. This paper also presents how does the voltage rise affect the connection of distribu...

We introduce our tool-suite that facilitates automated testing of applications for wireless sensor networks (WSNs). WSNs are highly distributed systems and therefore require a testing infrastructure. We present a general-purpose testing framework which enables component, integration, and system testing. When using our testing framework, test cases have to be implemented by several modules. To c...

Scenario generation has attracted wide attention in recent years owing to the high penetration of uncertainty sources modern power systems and introduction stochastic optimization for handling decision-making problems. These include unit commitment, optimal bidding, online supply–demand management, long-term planning integrated renewable energy systems. Simultaneously, installed capacity solar ...

Efficient generation of scenarios is a central problem in evaluating the expected value of a random function in the stochastic optimization. We study the use of sparse grid scenario generation method for this purpose. We show that this method is uniformly convergent, hence, also epi-convergent. We numerically compare the performance of the sparse grid method with several Quasi Monte Carlo (QMC)...

A brief overview of the requirements engineering, its history, and state of practice are given. A semi-formal method to structure the behavioral requirements for realtime embedded systems is presented. This method is based on a set of forms that contain both informal textbased descriptions and formally defined language constructs. After documentation of requirements into these forms, an algorit...