Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. - Presents advanced optimization techniques to improve existing energy demand system - Provides data-analytic models and their practical relevance in proven case studies - Explores novel developments in machine-learning and artificial intelligence applied in energy management - Provides modeling theory in an easy-to-read format

Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

This is an open access book.The 3rd International Conference on Public Management and Intelligent Society(PMIS 2023) will be held on March 10-12, 2023 in Shanghai, China. PMIS 2021 and PMIS 2022 have been successfully held in the last 2 years, providing an academic exchange platform for participants from all over the world. The conference discussed the latest topics in the field of public management and intelligent society, and the wonderful presentations were given by invited distinguished speakers and praised by scholars. Building an intelligent society and studying public management have always been a leading and hot issue. PMIS 2023 will focus on public management in an intelligent society, technological innovation in an intelligent society and advanced intelligent transportation system to discuss further. The aim of PMIS 2023 is to bring together innovative academics and industrial experts in the field of Public Management and Intelligent Society to a common forum. The primary goal to promote research and developmental activities and another goal is to promote scientific information interchange between researchers, developers, students, and practitioners in related fields.

The contribution of renewable energy offshore to the total energy production is increasing, as is the interest in this topic. Innovations in Renewable Energies Offshore includes the papers presented at the 6th International Conference on Renewable Energies Offshore (RENEW 2024, 19-21 November, 2024, Lisbon, Portugal), and aims to contribute to the knowledge about the developments and experience obtained in concept development, design and operation of such devices. The contributions cover a wide range of topics, including: Resource assessment Wind Energy Wave Energy Tidal Energy Photovoltaic Energy Hydrogen Offshore Multiuse Platforms PTO design Economic assessment Materials and structural design Maintenance Vessels Innovations in Renewable Energies Offshore will be of interest to academics and professionals involved or interested in applications of renewable energy resources offshore.

This book explores the different aspects of energy in human life especially expressing the advanced technologies in renewable energy resources. Due to the environmental pollution caused by fossil fuels and the non-permanent nature of these resources, the move towards the use of renewable energy has accelerated. In recent years, many attempts have been made to improve energy systems' performance by using multi-generation units, and these set-ups have been analyzed from the perspective of energy, exergy, economics, and environmental indicators. The book's primary goal is the effort to introduce new methods for assessing and upgrading the synergy. Therefore it examines sustainable practices such as water-energy-food nexus in poly-generation units, novel desalination systems, and smart greenhouses. One of the significant issues in these energy systems is the storage methods; for instance, carbon capture to reduce environmental pollution and the hydrogen store for the utilization in supplementary fuel. Also, robust optimization, uncertainty and risk-aware probabilistic analysis, energy management, and power supply of sensitive places such as oil rig platforms by renewables are examined.

Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.

Intensive use of fossil-based energy sources causes significant environmental problems on a global scale. Researchers have been working for several decades to find alternative energy solutions to fossil fuels. Algae are a renewable energy source, with high potential for increasing scarce resources and reducing environmental problems caused by fossil fuel use. Algal Biotechnology for Fuel Applications gives the reader a comprehensive picture of the industrial use of algae for generating power. This book informs readers about the existence of alternative species to the currently used algae species for biofuel production, while also explaining the methods and current concepts in sustainable biofuel production. Key Features - Fifteen chapters covering topics on commercial algae species and algal biofuel production. - Covers anaerobic biotechnology and basic biofuel production from thermal liquefaction - Covers biodiesel production and algal biofuel characterization - Introduces the reader to applied microbial fuel cell technology and algae cultivation methods - Provides concepts about ecological engineering - Covers microalgae culture and biofuel production techniques - Explains the importance of catalysts - Explains the economic evaluation of algae fuel production technology This reference is essential reading for students and academics involved in environmental science, biotechnology, chemical engineering and sustainability education programs. It also serves as a reference for general readers who want to understand the ins and outs of algal biofuel technology.

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy - Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results - Includes new circuits and systems, helping researchers solve many nonlinear problems

Go in-depth with this comprehensive discussion of distributed energy management Distributed Energy Management of Electrical Power Systems provides the most complete analysis of fully distributed control approaches and their applications for electric power systems available today. Authored by four respected leaders in the field, the book covers the technical aspects of control, operation management, and optimization of electric power systems. In each chapter, the book covers the foundations and fundamentals of the topic under discussion. It then moves on to more advanced applications. Topics reviewed in the book include: System-level coordinated control Optimization of active and reactive power in power grids The coordinated control of distributed generation, elastic load and energy storage systems Distributed Energy Management incorporates discussions of emerging and future technologies and their potential effects on electrical power systems. The increased impact of renewable energy sources is also covered. Perfect for industry practitioners and graduate students in the field of power systems, Distributed Energy Management remains the leading reference for anyone with an interest in its fascinating subject matter.