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"The increasing penetration of distributed renewable energy sources and the consequent empowerment of consumers to become active players in mitigating the lack of generation flexibility with demand flexibility, are driving the power and energy system towards an historic paradigm shift. The small scale, diversity, and number of new players involved in the power and energy field, potentiate a significant growth of generated data. Moreover, advances in telecommunications and digitalization hugely increased the volume of data that results from power and energy components, installations, and systems operation. This data is becoming more and more important for power and energy systems operation and planning, with relevant impact on all involved entities, from producers, consumers and aggregators, to market and system operators. However, although the power and energy community is fully aware of the intrinsic value of the data, the methods to deal with it still require significant improvements and research. Data mining and intelligent data analysis are thereby playing a crucial role in this domain, by enabling players to improve their decision-making process and gain awareness of the power and energy environment. This book brings together the state-of-the-art advances in intelligent data mining and analysis as drivers for the needed evolution of power and energy systems. Although there are some recent books on data mining in general, there is no significant review/survey material on data mining and intelligent data analysis models and their applications in power and energy systems."--
Data mining. --- Electric power systems. --- Electric Power --- Technology & Engineering
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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.
n/a --- virtual power plant --- bidding strategy --- local flexibility market --- multi-period optimal power flow --- flexibility service --- occupant comfort --- unbalanced networks --- decentralized energy management system --- autonomous control --- optimization --- energy storage --- microgrids --- energy efficiency --- distributed energy --- control system --- DSM --- optimal scheduling --- adaptability --- synergistic optimization strategy --- teaching-learning --- distributed generation --- energy storage system --- stackelberg dynamic game --- IoT (Internet of Things) --- supply and demand --- comprehensive benefits --- distributed generator --- frequency bus-signaling --- active distribution networks --- swarm intelligence --- wind --- multi-agent technology --- solar --- power system management --- fault-tolerant control --- indoor environment quality --- multi-temporal optimal power flow --- multi-agent synergetic estimation --- smart grids --- local energy trading --- active power control --- prosumer --- microgrid --- trade agreements --- healthy building --- smart grid --- nonlinear control --- algorithm design and analysis --- batteries --- droop control --- distributed energy resources --- aggregator --- multi-agent system --- frequency control --- particle swarm optimization --- distribution system operator --- building climate control --- low voltage networks --- demand Response --- clustering --- distributed coordination --- demand-side management --- demand response
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The Special Issue "Demand Response in Smart Grids" includes 11 papers on a variety of topics. The success of this Special Issue demonstrates the relevance of demand response programs and events in the operation of power and energy systems at both the distribution level and at the wide power system level. This reprint addresses the design, implementation, and operation of demand response programs, with focus on methods and techniques to achieve an optimized operation as well as on the electricity consumer.
Smart power grids. --- Energy systems. --- Grids, Smart power --- Power grids, Smart --- Smart grids (Electric power distribution) --- Electric power distribution --- Automation
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Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology. Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.
Intelligent control systems. --- Computational intelligence. --- Engineering. --- Computers. --- Electric power production. --- Computational Intelligence. --- Computing Methodologies. --- Energy Technology. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Electric power generation --- Electricity generation --- Power production, Electric --- Electric power systems --- Electrification --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Construction --- Industrial arts --- Technology --- Intelligent control --- Intelligent controllers --- Automatic control --- Artificial intelligence. --- Artificial Intelligence. --- Energy Systems. --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Energy systems.
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Electric utilities. --- Electric companies --- Electric light and power industry --- Electric power industry --- Electric industries --- Energy industries --- Public utilities --- Electric power distribution. --- Electricity --- Power distribution, Electric --- Electric power systems --- Power transmission --- Electric power transmission --- Electrification --- Distribution --- E-books --- Electric utilities --- Electric power distribution
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Relation between energy and economics --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- energietechniek --- systeemontwikkeling (informatica) --- KI (kunstmatige intelligentie) --- methodologieën
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This book constitutes the refereed proceedings of the 15th International Conference on Practical Applications of Scalable Multi-Agent Systems, PAAMS 2017, held in Porto, Portugal, in June 2017. The 11 revised full papers, 11 short papers, and 17 Demo papers were carefully reviewed and selected from 63 submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including day life and real world, energy and networks, human and trust, markets and bids, models and tools, negotiation and conversation, scalability and resources. .
Computer science. --- Computer communication systems. --- Special purpose computers. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Communication Networks. --- Special Purpose and Application-Based Systems. --- Computer Applications. --- Information Systems Applications (incl. Internet). --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Special purpose computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Computer software --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computers --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Science --- Distributed processing --- Software engineering. --- Artificial Intelligence. --- Computer software engineering --- Engineering --- Intelligent agents (Computer software) --- Conferences - Meetings --- Multiagent systems --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent
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This book constitutes the refereed proceedings of the 18th EPIA Conference on Artificial Intelligence, EPIA 2017, held in Porto, Portugal, in September 2017. The 69 revised full papers and 2 short papers presented were carefully reviewed and selected from a total of 177 submissions. The papers are organized in 16 tracks devoted to the following topics: agent-based modelling for criminological research (ABM4Crime), artificial intelligence in cyber-physical and distributed embedded systems (AICPDES), artificial intelligence in games (AIG), artificial intelligence in medicine (AIM), artificial intelligence in power and energy systems (AIPES), artificial intelligence in transportation systems (AITS), artificial life and evolutionary algorithms (ALEA), ambient intelligence and affective environments (AmIA), business applications of artificial intelligence (BAAI), intelligent robotics (IROBOT), knowledge discovery and business intelligence (KDBI), knowledge representation and reasoning (KRR), multi-agent systems: theory and applications (MASTA), software engineering for autonomous and intelligent systems (SE4AIS), social simulation and modelling (SSM), and text mining and applications (TeMA).
Computer science. --- Special purpose computers. --- Software engineering. --- Algorithms. --- Computers. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Information Systems and Communication Service. --- Special Purpose and Application-Based Systems. --- Software Engineering/Programming and Operating Systems. --- Computer Appl. in Social and Behavioral Sciences. --- Informatics --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Algorism --- Computer software engineering --- Special purpose computers --- Science --- Computer software --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Algebra --- Arithmetic --- Engineering --- Computers --- Foundations --- Computer software. --- Information systems. --- Social sciences --- Artificial Intelligence. --- Data processing. --- Software, Computer --- Artificial intelligence
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Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology. Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.
Relation between energy and economics --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- energietechniek --- systeemontwikkeling (informatica) --- KI (kunstmatige intelligentie) --- methodologieën
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