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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： A. Madureira B. Cunha J.P. Pereira I. Pereira S. Gomes GECAD – Knowledge Engineering and Decision Support Research Center Institute of Engineering Polytechnic of Porto (ISEP/IPP) Porto Portugal

User modeling and user adaptive interaction research areas are becoming crucial applied issues to understand and support users as they interact with technology. Modeling the decisions to be made and the constraints placed by market globalization in a way that can address the needs of all stakeholders has been a long time area of academic and industrial research, mainly for Planning, Scheduling, and Strategic decision making areas. Business analysts, developers, and organizations involved in all phases of the business value chain have requirements for applied business insight through modeling. In this paper, an architecture for user modeling on Intelligent and Adaptive Scheduling System is proposed.

关键词： Adaptive scheduling Human computer interaction Runtime

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Distributed intelligent management of microgrids using a multi-agent simulation platform

Distributed intelligent management of microgrids using a mul...

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IEEE Symposium on Intelligent Agents, IA

作者： Luis Gomes Tiago Pinto Pedro Faria Zita Vale Polytechnic of Porto (ISEP/IPP) GECAD - Knowledge Engineering and Decision Support Research Center of the Institute of Engineering Porto Portugal

Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems' sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players' responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.

关键词： Load modeling Logic gates Microgrids Load management Hardware Real-time systems Schedules

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Traveled Distance Estimation Algorithm for Indoor Localization

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Procedia Technology 2014年 17卷 248-255页

作者： Rui Terra Lino Figueiredo Ramiro Barbosa Ricardo Anacleto GECAD Knowledge Engineering and Decision Support Research Center Rua Dr. António Bernardino de Almeida 431 4200-072 Porto Portugal

This paper presents an ankle mounted Inertial Navigation System (INS) used to estimate the distance traveled by a pedestrian. This distance is estimated by the number of steps given by the user. The proposed method is based on force sensors to enhance the results obtained from an INS. Experimental results have shown that, depending on the step frequency, the traveled distance error varies between 2.7% and 5.6%.

关键词： Inertial Navigation System Pedestrian Dead Reckoning Step Frequency Step Length Estimation.

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Prototype of an Adaptive decision support System for Interactive Scheduling with MetaCognition and User Modeling Experience

Prototype of an Adaptive Decision Support System for Interac...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： A. Madureira S. Gomes B. Cunha J.P. Pereira J. M. Santos I. Pereira GECAD-Knowledge Engineering and Decision Support Research Center School of Engineering from Polytechnic of Porto (ISEP/IPP) Porto Portugal

Current manufacturing scheduling has still difficulties to deal with real-world situations and, hence, human intervention is required to maintain real-time adaptation and optimization, to efficiently adapt to the inherent complex system dynamics. In this paper the prototype of an Adaptive decision support System for Interactive Scheduling with MetaCognition and User Modeling Experience (ADSyS) is proposed. A preliminary usability evaluation was streamlined to collect user's opinion about the system performance and interaction model.

关键词： Educational institutions Manufacturing Dynamic compiler Dynamic scheduling Optimization Visualization

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Towards a Unified European Electricity Market: The Contribution of Data-mining to support Realistic Simulation Studies

Towards a Unified European Electricity Market: The Contribut...

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IEEE Power and Energy Society General Meeting

作者： Tiago Pinto Gabriel Santos Ivo F. Pereira Ricardo Fernandes Tiago M. Sousa Isabel Praca Zita Vale Hugo Morais GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (ISEP/IPP) Automation and Control Group Department of Electrical Engineering Technical University of Denmark (DTU)

ISBN: (纸本)9781479964161

Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European Electricity Market, where countries are connected, and several regional markets were created, each one grouping several countries, and supporting transactions of huge amounts of electrical energy. The continuous transformations electricity markets have been experiencing over the years create the need to use simulation platforms to support operators, regulators, and involved players for understanding and dealing with this complex environment. This paper focuses on demonstrating the advantage that real electricity markets data has for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations will bring to the participant countries. A case study using MASCEM (Multi-Agent System for Competitive Electricity Markets) is presented, with a scenario based on real data, simulating the European Electricity Market environment, and comparing its performance when using several different market mechanisms.

关键词： Data-Mining Electricity Markets Simulation Multi-Agent Systems Scenarios Generation

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Distributed Energy Resources Scheduling Considering Real-Time Resources Forecast

Distributed Energy Resources Scheduling Considering Real-Tim...

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IEEE Power and Energy Society General Meeting

作者： M. Silva T. Sousa S. Ramos Z. Vale H. Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Automation and Control Group Department of Electrical Engineering Technical University of Denmark (DTU)

ISBN: (纸本)9781479964161

Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and real-time time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

关键词： Distributed Energy Resources Energy Resource Management Smart Grid Virtual Power Player

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Manufacturing rush orders rescheduling: a supervised learning approach

Manufacturing rush orders rescheduling: a supervised learnin...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： A. Madureira J. M. Santos S. Gomes B. Cunha J.P. Pereira I. Pereira GECAD-Knowledge Engineering and Decision Support Research Center School of Engineering from Polytechnic of Porto (ISEP/IPP) Porto Portugal

Contemporary manufacturing scheduling has still limitations in real-world environments where disturbances on working conditions could occur over time. Therefore, human intervention is required to maintain real-time adaptation and optimization and efficiently adapt to the inherent dynamic of markets. This paper addresses the problem of incorporating rush orders into the current schedule of a manufacturing shop floor organization. A set of experiments were performed in order to evaluate the applicability of supervised classification algorithms in the attempt to predict the best integration mechanism when receiving a new order in a dynamic scheduling problem.

关键词： Classification algorithms Accuracy Machine learning algorithms Job shop scheduling Communities Vegetation decision trees

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Definition of distribution network tariffs considering distribution generation and demand response

Definition of distribution network tariffs considering distr...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Tiago Soares Pedro Faria Zita Vale Hugo Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal GECAD - Knowledge Engineering and Decision-Support Research Center / IPP - Polytechnic Institute of Porto Automation and Control Group / Technical University of Denmark (DTU) Elektrovej build. 326 DK 2800 Kgs. Lyngby Denmark

The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.

关键词： Load flow Resource management Equations Pricing Mathematical model Load management

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A new heuristic providing an effective initial solution for a simulated annealing approach to energy resource scheduling in smart grids

A new heuristic providing an effective initial solution for ...

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2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, CIASG 2014

作者： Sousa, T. Morais, H. Castro, R. Vale, Z. GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal Elektrovej build. 326 Kgs. LyngbyDK 2800 Denmark INESC-ID IST Instituto Superior Técnico University of Lisbon Lisbon Portugal

ISBN: (纸本)9781479945474

An intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem. Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors. The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles. © 2014 IEEE.

关键词： Simulated annealing

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Realistic Traffic Scenarios Using a Census Methodology: Vila Real Case Study

Realistic Traffic Scenarios Using a Census Methodology: Vila...

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IEEE Power and Energy Society General Meeting

作者： Joao Soares Cristina Lobo Zita Vale P. B. de Moura Oliveira GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP) INESC TEC - INESC Technology and Science UTAD University

ISBN: (纸本)9781479964161

This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.

关键词： Electric buses Electric vehicles Simulation Traffic simulation

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