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2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC I&CPS Europe)
The aim of the conferences is to give the opportunity of a genuine and constructive dialogue among participants on the hot topics and far reaching challenges that engineers and scientists are called to face in the present days The conference is so a precious chance to discuss recent developments and practical applications in crucial areas, such as sustainable and renewable energy production, energy storage, smart grids, energy conversion, sustainable transport systems, EMC control in lightning and grounding systems, novel materials and nanotechnology
Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods.
Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
The current power system should be renovated to fulfill social and industrial requests and economic advances. Hence, providing economic, green, and sustainable energy are key goals of advanced societies. In order to meet these goals, recent features of smart grid technologies need to have the potential to improve reliability, flexibility, efficiency, and resiliency. This book aims to address the mentioned challenges by introducing advanced approaches, business models, and novel techniques for the management and control of future smart grids.
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.
Technological Innovation for Industry and Service Systems
This book constitutes the refereed proceedings of the 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, held in Costa de Caparica, Portugal, in May 2019. The 36 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and serivce systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, collaboration and resilient systems, decision and optimization systems, assistive systems, smart environments, smart manufacturing, water monitoring systems, communication systems, and energy systems.
Technological Innovation for Resilient Systems
This book constitutes the refereed proceedings of the 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, held in Costa de Caparica, Portugal, in May 2018. The 30 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for resilient systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, decision support systems, supervision systems, energy management, smart grids, sensing systems, electrical systems, simulation and analysis, monitoring systems, and energy distribution systems.
IoT and Analytics in Renewable Energy Systems (Volume 1)
Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
Technological Innovation for Smart Systems
This book constitutes the refereed proceedings of the 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, held in Costa de Caparica, Portugal, in May 2017. The 46 revised full papers were carefully reviewed and selected from 95 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for smart systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks, computational intelligence, systems analysis, smart manufacturing systems, smart sensorial systems, embedded and real time systems, energy: management, energy: optimization, distributed infrastructure, solar energy, electrical machines, power electronics, and electronics.
