Predictive Modelling For Energy Management And Power Systems Engineering

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Predictive Modelling for Energy Management and Power Systems Engineering

Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
Predictive Modelling for Energy Management and Power Systems Engineering Book PDF

Author : Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy
Publisher : Elsevier
Page : 553 pages
File Size : 44,8 Mb
Release : 2020-09-30
Category : Science
ISBN : 9780128177730

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Predictive Modelling for Energy Management and Power Systems Engineering by Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy Pdf

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

Energy Management

Valentin A. Boicea
Energy Management Book PDF

Author : Valentin A. Boicea
Publisher : CRC Press
Page : 93 pages
File Size : 55,6 Mb
Release : 2021-06-27
Category : Computers
ISBN : 9781000437683

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Energy Management by Valentin A. Boicea Pdf

Presents a novel approach to load forecast in power engineering. Describes improvements to the efficiency of Big Data processing. Includes further research directions in Deep Learning techniques. Provides an update to load analysis and consumption prediction. Covers the relation of Deep Learning and Big Data in power engineering.

Model Predictive Control for Microgrids

Jiefeng Hu,Josep M. Guerrero,Syed Islam
Model Predictive Control for Microgrids Book PDF

Author : Jiefeng Hu,Josep M. Guerrero,Syed Islam
Publisher : Energy Engineering
Page : 300 pages
File Size : 50,5 Mb
Release : 2021-09
Category : Technology & Engineering
ISBN : 1839533978

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Model Predictive Control for Microgrids by Jiefeng Hu,Josep M. Guerrero,Syed Islam Pdf

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.

Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

Nadeem Akhtar,Azah Kamilah Draman,Mohd Faizal Abdollah
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society PMIS 2023 Book PDF

Author : Nadeem Akhtar,Azah Kamilah Draman,Mohd Faizal Abdollah
Publisher : Springer Nature
Page : 1418 pages
File Size : 43,7 Mb
Release : 2023-07-25
Category : Computers
ISBN : 9789464632002

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Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) by Nadeem Akhtar,Azah Kamilah Draman,Mohd Faizal Abdollah Pdf

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.

New Technologies for Power System Operation and Analysis

Huaiguang Jiang,Yingchen Zhang,Eduard Muljadi
New Technologies for Power System Operation and Analysis Book PDF

Author : Huaiguang Jiang,Yingchen Zhang,Eduard Muljadi
Publisher : Academic Press
Page : 389 pages
File Size : 40,5 Mb
Release : 2020-10-29
Category : Technology & Engineering
ISBN : 9780128201695

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New Technologies for Power System Operation and Analysis by Huaiguang Jiang,Yingchen Zhang,Eduard Muljadi Pdf

New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from transmission and distribution system sides. Sections cover wind, solar, gas and petroleum, making this a useful reference for all engineers interested in power system operation. Includes codes in MATLAB® and Python Provides a complete analysis of all new and relevant power system technologies Covers the impact on existing power system operations at the advanced level, with detailed technical insights

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

Qiuwei Wu,Jin Tan,Menglin Zhang,Xiaolong Jin,Ana Turk
Optimal Operation of Integrated Multi Energy Systems Under Uncertainty Book PDF

Author : Qiuwei Wu,Jin Tan,Menglin Zhang,Xiaolong Jin,Ana Turk
Publisher : Elsevier
Page : 372 pages
File Size : 48,5 Mb
Release : 2021-09-07
Category : Technology & Engineering
ISBN : 9780128241158

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty by Qiuwei Wu,Jin Tan,Menglin Zhang,Xiaolong Jin,Ana Turk Pdf

Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty discusses core concepts, advanced modeling and key operation strategies for integrated multi-energy systems geared for use in optimal operation. The book particularly focuses on reviewing novel operating strategies supported by relevant code in MATLAB and GAMS. It covers foundational concepts, key challenges and opportunities in operational implementation, followed by discussions of conventional approaches to modeling electricity, heat and gas networks. This modeling is the base for more detailed operation strategies for optimal operation of integrated multi-energy systems under uncertainty covered in the latter part of the work. Reviews advanced modeling approaches relevant to the integration of electricity, heat and gas systems in operation studies Covers stochastic and robust optimal operation of integrated multi-energy systems Evaluates MPC based, real-time dispatch of integrated multi-energy systems Considers uncertainty modeling for stochastic and robust optimization Assesses optimal operation and real-time dispatch for multi-energy building complexes

Advances in Electric Power and Energy Systems

Dr. Mohamed E. El-Hawary
Advances in Electric Power and Energy Systems Book PDF

Author : Dr. Mohamed E. El-Hawary
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 52,6 Mb
Release : 2017-06-21
Category : Technology & Engineering
ISBN : 9781119309772

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Advances in Electric Power and Energy Systems by Dr. Mohamed E. El-Hawary Pdf

A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: Introduces advanced methods of time series forecasting, as well as neural networks Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting Addresses river flow forecasting based on autonomous neural network models Deals with price forecasting in a competitive market Includes estimation of post-storm restoration times for electric power distribution systems Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.

Synergy Development in Renewables Assisted Multi-carrier Systems

Majid Amidpour,Mohammad Ebadollahi,Farkhondeh Jabari,Mohammad-Reza Kolahi,Hadi Ghaebi
Synergy Development in Renewables Assisted Multi carrier Systems Book PDF

Author : Majid Amidpour,Mohammad Ebadollahi,Farkhondeh Jabari,Mohammad-Reza Kolahi,Hadi Ghaebi
Publisher : Springer Nature
Page : 514 pages
File Size : 44,5 Mb
Release : 2022-01-15
Category : Technology & Engineering
ISBN : 9783030907204

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Synergy Development in Renewables Assisted Multi-carrier Systems by Majid Amidpour,Mohammad Ebadollahi,Farkhondeh Jabari,Mohammad-Reza Kolahi,Hadi Ghaebi Pdf

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.

Handbook of Machine Learning Applications for Genomics

Sanjiban Sekhar Roy,Y.-H. Taguchi
Handbook of Machine Learning Applications for Genomics Book PDF

Author : Sanjiban Sekhar Roy,Y.-H. Taguchi
Publisher : Springer Nature
Page : 222 pages
File Size : 49,5 Mb
Release : 2022-06-23
Category : Technology & Engineering
ISBN : 9789811691584

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Handbook of Machine Learning Applications for Genomics by Sanjiban Sekhar Roy,Y.-H. Taguchi Pdf

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.

Algal Biotechnology for Fuel Applications

Hüseyin Karaca,Cemil Koyunoğlu
Algal Biotechnology for Fuel Applications Book PDF

Author : Hüseyin Karaca,Cemil Koyunoğlu
Publisher : Bentham Science Publishers
Page : 363 pages
File Size : 51,7 Mb
Release : 2022-10-05
Category : Technology & Engineering
ISBN : 9789815051018

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Algal Biotechnology for Fuel Applications by Hüseyin Karaca,Cemil Koyunoğlu Pdf

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

Ahmad Taher Azar,Nashwa Ahmad Kamal
Renewable Energy Systems Book PDF

Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Page : 734 pages
File Size : 40,9 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9780128203989

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Renewable Energy Systems by Ahmad Taher Azar,Nashwa Ahmad Kamal Pdf

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

Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks

William Holderbaum,Feras Alasali,Ayush Sinha
Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks Book PDF

Author : William Holderbaum,Feras Alasali,Ayush Sinha
Publisher : Springer Nature
Page : 218 pages
File Size : 47,8 Mb
Release : 2023-01-07
Category : Technology & Engineering
ISBN : 9783030828486

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Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks by William Holderbaum,Feras Alasali,Ayush Sinha Pdf

This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions. The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions. Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support more informed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage. This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.

Distributed Energy Management of Electrical Power Systems

Yinliang Xu,Wei Zhang,Wenxin Liu,Wen Yu
Distributed Energy Management of Electrical Power Systems Book PDF

Author : Yinliang Xu,Wei Zhang,Wenxin Liu,Wen Yu
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 55,8 Mb
Release : 2020-12-15
Category : Science
ISBN : 9781119534877

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Distributed Energy Management of Electrical Power Systems by Yinliang Xu,Wei Zhang,Wenxin Liu,Wen Yu Pdf

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.

Model Predictive Control of Microgrids

Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao
Model Predictive Control of Microgrids Book PDF

Author : Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao
Publisher : Springer Nature
Page : 266 pages
File Size : 48,8 Mb
Release : 2019-09-12
Category : Technology & Engineering
ISBN : 9783030245702

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Model Predictive Control of Microgrids by Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao Pdf

The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources – mainly photovoltaic and wind – as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Design and Analysis of Distributed Energy Management Systems

Tatsuya Suzuki,Shinkichi Inagaki,Yoshihiko Susuki,Anh Tuan Tran
Design and Analysis of Distributed Energy Management Systems Book PDF

Author : Tatsuya Suzuki,Shinkichi Inagaki,Yoshihiko Susuki,Anh Tuan Tran
Publisher : Springer Nature
Page : 209 pages
File Size : 54,8 Mb
Release : 2020-01-21
Category : Technology & Engineering
ISBN : 9783030336721

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Design and Analysis of Distributed Energy Management Systems by Tatsuya Suzuki,Shinkichi Inagaki,Yoshihiko Susuki,Anh Tuan Tran Pdf

This book provides key ideas for the design and analysis of complex energy management systems (EMS) for distributed power networks. Future distributed power networks will have strong coupling with (electrified) mobility and information-communication technology (ICT) and this book addresses recent challenges for electric vehicles in the EMS, and how to synthesize the distributed power network using ICT. This book not only describes theoretical developments but also shows many applications using test beds and provides an overview of cutting edge technologies by leading researchers in their corresponding fields. Describes design and analysis of energy management systems; Illustrates the synthesis of distributed energy management systems based on aggregation of local agents; Discusses dependability issues of the distributed EMS with emphasis on the verification scheme based on remote-operational hardware-in-the-loop (HIL) simulation and cybersecurity.