114,249 research outputs found
Evolutionary neurocontrol: A novel method for low-thrust gravity-assist trajectory optimization
This article discusses evolutionary neurocontrol, a novel method for low-thrust gravity-assist trajectory optimization
Theory and Applications of Robust Optimization
In this paper we survey the primary research, both theoretical and applied,
in the area of Robust Optimization (RO). Our focus is on the computational
attractiveness of RO approaches, as well as the modeling power and broad
applicability of the methodology. In addition to surveying prominent
theoretical results of RO, we also present some recent results linking RO to
adaptable models for multi-stage decision-making problems. Finally, we
highlight applications of RO across a wide spectrum of domains, including
finance, statistics, learning, and various areas of engineering.Comment: 50 page
Multi-agent systems for power engineering applications - part 1 : Concepts, approaches and technical challenges
This is the first part of a 2-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part 1 of the paper examines the potential value of MAS technology to the power industry. In terms of contribution, it describes fundamental concepts and approaches within the field of multi-agent systems that are appropriate to power engineering applications. As well as presenting a comprehensive review of the meaningful power engineering applications for which MAS are being investigated, it also defines the technical issues which must be addressed in order to accelerate and facilitate the uptake of the technology within the power and energy sector. Part 2 of the paper explores the decisions inherent in engineering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed and implemented
Knowledge Discovery in the SCADA Databases Used for the Municipal Power Supply System
This scientific paper delves into the problems related to the develop-ment of
intellectual data analysis system that could support decision making to manage
municipal power supply services. The management problems of mu-nicipal power
supply system have been specified taking into consideration modern tendencies
shown by new technologies that allow for an increase in the energy efficiency.
The analysis findings of the system problems related to the integrated
computer-aided control of the power supply for the city have been given. The
consideration was given to the hierarchy-level management decom-position model.
The objective task targeted at an increase in the energy effi-ciency to
minimize expenditures and energy losses during the generation and
transportation of energy carriers to the Consumer, the optimization of power
consumption at the prescribed level of the reliability of pipelines and
networks and the satisfaction of Consumers has been defined. To optimize the
support of the decision making a new approach to the monitoring of engineering
systems and technological processes related to the energy consumption and
transporta-tion using the technologies of geospatial analysis and Knowledge
Discovery in databases (KDD) has been proposed. The data acquisition for
analytical prob-lems is realized in the wireless heterogeneous medium, which
includes soft-touch VPN segments of ZigBee technology realizing the 6LoWPAN
standard over the IEEE 802.15.4 standard and also the segments of the networks
of cellu-lar communications. JBoss Application Server is used as a server-based
plat-form for the operation of the tools used for the retrieval of data
collected from sensor nodes, PLC and energy consumption record devices. The KDD
tools are developed using Java Enterprise Edition platform and Spring and ORM
Hiber-nate technologies
The safety case and the lessons learned for the reliability and maintainability case
This paper examine the safety case and the lessons learned for the reliability and maintainability case
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