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Proceedings from the International Conference on Hydro and Renewable Energy
  • Language: en
  • Pages: 465
Engineering and Ecosystems
  • Language: en
  • Pages: 563

Engineering and Ecosystems

This book demonstrates how the inclusion of nature in engineering decisions results in innovative solutions that are economically feasible, ecologically viable, and socially desirable. It advances progress toward nature-positive decisions by protection and restoration of ecosystems and respect for ecological boundaries. The topic of this book is an active area of academic research, and leading companies are including goals associated with ecosystem services in their sustainability plans. This book is the first collection of methods and applications that explicitly include the role of nature in supporting engineering activities and describes the role that ecosystems play in supporting technology and industry. It describes approaches, models, applications, and challenges for innovation and sustainability that will be useful to students and practitioners.

Security of Cyber-Physical Systems
  • Language: en
  • Pages: 328

Security of Cyber-Physical Systems

This book presents a comprehensive overview of security issues in Cyber Physical Systems (CPSs), by analyzing the issues and vulnerabilities in CPSs and examining state of the art security measures. Furthermore, this book proposes various defense strategies including intelligent attack and anomaly detection algorithms. Today’s technology is continually evolving towards interconnectivity among devices. This interconnectivity phenomenon is often referred to as Internet of Things (IoT). IoT technology is used to enhance the performance of systems in many applications. This integration of physical and cyber components within a system is associated with many benefits; these systems are often re...

Electrical Transmission Systems and Smart Grids
  • Language: en
  • Pages: 326

Electrical Transmission Systems and Smart Grids

Electric transmission networks are among the largest human-made engineering systems: For example, the transmission network in the United States covers over 300,000 km of lines and is served by 500 companies (electric utilities). In sharp contrast to the very incremental developments of the last century, transmission and control technologies experienced a major breakthrough at the beginning of the 21st century. The rapid growth of new energy generation technologies (renewables), significant advances in information processing applied to system monitoring, planning, operation, control, and protection, radical changes in distribution networks, and key shifts in end user behavior (advanced meteri...

Handbook of Clean Energy Systems, 6 Volume Set
  • Language: en
  • Pages: 4038

Handbook of Clean Energy Systems, 6 Volume Set

The Handbook of Clean Energy Systems brings together an international team of experts to present a comprehensive overview of the latest research, developments and practical applications throughout all areas of clean energy systems. Consolidating information which is currently scattered across a wide variety of literature sources, the handbook covers a broad range of topics in this interdisciplinary research field including both fossil and renewable energy systems. The development of intelligent energy systems for efficient energy processes and mitigation technologies for the reduction of environmental pollutants is explored in depth, and environmental, social and economic impacts are also ad...

Short-Term Load Forecasting using Machine Learning Methods
  • Language: en
  • Pages: 218

Short-Term Load Forecasting using Machine Learning Methods

Maintaining the balance between generation and consumption is at the heart of electricity grid operation. A disruption to this balance can lead to grid overloads, outages, system damage, rising electricity costs or wasted electricity. For this reason, accurate forecasting of load behavior is crucial. In this work, two classes of ML-based algorithms were used for load forecasting: the Hidden Markov Models (HMMs) and the Deep Neural Networks (DNNs), both of which provide stable and more accurate results than the considered benchmark methods. HMMs could be successfully used as a stand-alone predictor with a training based on Maximum Likelihood Estimation (MLE) in combination with a clustering o...

21st European Symposium on Computer Aided Process Engineering
  • Language: en
  • Pages: 2087

21st European Symposium on Computer Aided Process Engineering

  • Type: Book
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  • Published: 2011-07-21
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  • Publisher: Elsevier

The European Symposium on Computer Aided Process Engineering (ESCAPE) series presents the latest innovations and achievements of leading professionals from the industrial and academic communities. The ESCAPE series serves as a forum for engineers, scientists, researchers, managers and students to present and discuss progress being made in the area of computer aided process engineering (CAPE). European industries large and small are bringing innovations into our lives, whether in the form of new technologies to address environmental problems, new products to make our homes more comfortable and energy efficient or new therapies to improve the health and well being of European citizens. Moreover, the European Industry needs to undertake research and technological initiatives in response to humanity's "Grand Challenges," described in the declaration of Lund, namely, Global Warming, Tightening Supplies of Energy, Water and Food, Ageing Societies, Public Health, Pandemics and Security. Thus, the Technical Theme of ESCAPE 21 will be "Process Systems Approaches for Addressing Grand Challenges in Energy, Environment, Health, Bioprocessing & Nanotechnologies."

Hybrid Offline/Online Methods for Optimization Under Uncertainty
  • Language: en
  • Pages: 126

Hybrid Offline/Online Methods for Optimization Under Uncertainty

  • Type: Book
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  • Published: 2022-04-12
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  • Publisher: IOS Press

Balancing the solution-quality/time trade-off and optimizing problems which feature offline and online phases can deliver significant improvements in efficiency and budget control. Offline/online integration yields benefits by achieving high quality solutions while reducing online computation time. This book considers multi-stage optimization problems under uncertainty and proposes various methods that have broad applicability. Due to the complexity of the task, the most popular approaches depend on the temporal granularity of the decisions to be made and are, in general, sampling-based methods and heuristics. Long-term strategic decisions that may have a major impact are typically solved us...

Alternative Energy Sources and Technologies
  • Language: en
  • Pages: 511

Alternative Energy Sources and Technologies

  • Type: Book
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  • Published: 2016-03-22
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  • Publisher: Springer

Presenting a comprehensive analysis of the use of alternative sources of energy and technologies to produce fuels and power, this book describes the energy value chain from harvesting the raw material, (i.e solar, wind, biomass or shale gas) followed by analysis of the processing steps into power, fuels and/or chemicals and finally the distribution of the products. Featuring an examination of the techno-economic processes and integration opportunities which can add value to by-products or promote the use of different sources of energy within the same facility, this book looks at the tools that can make this integration possible as well as utilising a real world case study. The case study of ...

Artificial Intelligence-based Smart Power Systems
  • Language: en
  • Pages: 404

Artificial Intelligence-based Smart Power Systems

Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To...