Hybrid Advanced Techniques For Forecasting In Energy Sector
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Hybrid Advanced Techniques For Forecasting In Energy Sector
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Author : Wei-Chiang Hong
language : en
Publisher: MDPI
Release Date : 2018-10-19
Hybrid Advanced Techniques For Forecasting In Energy Sector written by Wei-Chiang Hong and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-19 with Technology & Engineering categories.
This book is a printed edition of the Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector" that was published in Energies
Hybrid Advanced Techniques For Forecasting In Energy Sector
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Author : Wei-Chiang Hong
language : en
Publisher:
Release Date : 2018
Hybrid Advanced Techniques For Forecasting In Energy Sector written by Wei-Chiang Hong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. To comprehensively address this issue, it is insufficient to concentrate only on simply hybridizing evolutionary algorithms with each other, or on hybridizing evolutionary algorithms with chaotic mapping, quantum computing, recurrent and seasonal mechanisms, and fuzzy inference theory in order to determine suitable parameters for an existing model. It is necessary to also consider hybridizing or combining two or more existing models (e.g., neuro-fuzzy model, BPNN-fuzzy model, seasonal support vector regression-chaotic quantum particle swarm optimization (SSVR-CQPSO), et cetera). These advanced novel hybrid techniques can provide more satisfactory energy forecasting performances. This book aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards recent developments, id est, hybridizing or combining any advanced techniques in energy forecasting, with the superior capabilities over the traditional forecasting approaches, with the ability to overcome some embedded drawbacks, and with the very superiority to achieve significant improved forecasting accuracy.
Forecasting Methods For Renewable Power Generation
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Author : Jai Govind Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-18
Forecasting Methods For Renewable Power Generation written by Jai Govind Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Technology & Engineering categories.
Forecasting Methods for Renewable Power Generation is an essential resource for both professionals and students, providing in-depth insights into vital forecasting techniques that enhance grid stability, optimize resource management, and enable effective electricity pricing strategies. It is a must-have reference for anyone involved in the clean energy sector. Forecasting techniques in renewable power generation, demand response, and electricity pricing are vital for grid stability, optimal resource allocation, efficient energy management, and cost-effective electricity supply. They enable grid operators and market participants to make informed decisions, mitigate risks, and enhance the overall reliability and sustainability of the electrical grid. Electricity prices can vary significantly based on supply and demand dynamics. By forecasting expected demand and the availability of generation resources, market operators can optimize electricity pricing strategies. This alignment of prices with anticipated supply-demand balance incentivizes the efficient use of electricity and promotes market efficiency. Accurate forecasting helps prevent price spikes, reduces market uncertainties, and supports the development of effective energy trading strategies. This book presents these topics and trends in an encyclopedic format, serving as a go-to reference for engineers, scientists, or students interested in the subject. The book is divided into three easy-to-navigate sections that thoroughly examine the AI and machine learning-based algorithms and pseudocode considered in this study. This is the most comprehensive and up-to-date encyclopedia of forecasting in renewable power generation, demand response, and electricity pricing ever written, and is a must-have for any library.
Short Term Load Forecasting By Artificial Intelligent Technologies
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Author : Wei-Chiang Hong
language : en
Publisher: MDPI
Release Date : 2019-01-29
Short Term Load Forecasting By Artificial Intelligent Technologies written by Wei-Chiang Hong and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Computers categories.
This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies
International Conference On Emerging Applications And Technologies For Industry 4 0 Eati 2020
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Author : Jemal H. Abawajy
language : en
Publisher: Springer Nature
Release Date : 2021-07-14
International Conference On Emerging Applications And Technologies For Industry 4 0 Eati 2020 written by Jemal H. Abawajy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Technology & Engineering categories.
This book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment—sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice.
Proceedings Of The 9th Irc Conference On Science Engineering And Technology
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Author : Jiqiang Lu
language : en
Publisher: Springer Nature
Release Date : 2023-12-20
Proceedings Of The 9th Irc Conference On Science Engineering And Technology written by Jiqiang Lu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Science categories.
This book highlights the contemporary state of research in multidisciplinary areas of Computer Science, Computer Engineering, Data Science, Electrical and Electronics Engineering, Chemical Engineering, Mechanical Engineering, Physics, Biomedical Sciences, Life Sciences, Medicine, Healthcare, and Business Technology. The accepted submissions to the 9th IRC Conference on Science, Engineering and Technology (IRC-SET 2023) presented on 19 August 2023 are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains.
Computer Vision And Machine Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Intelligent Techniques For Predictive Data Analytics
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Author : Neha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-30
Intelligent Techniques For Predictive Data Analytics written by Neha Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Power Systems Operation With 100 Renewable Energy Sources
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Author : Sanjeevikumar Padmanaban
language : en
Publisher: Elsevier
Release Date : 2023-10-24
Power Systems Operation With 100 Renewable Energy Sources written by Sanjeevikumar Padmanaban and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Technology & Engineering categories.
Power Systems Operation with 100% Renewable Energy Sources combines fundamental concepts of renewable energy integration into power systems with real-world case studies to bridge the gap between theory and implementation. The book examines the challenges and solutions for renewable energy integration into the transmission and distribution grids, and also provides information on design, analysis and operation. Starting with an introduction to renewable energy sources and bulk power systems, including policies and frameworks for grid upgradation, the book then provides forecasting, modeling and analysis techniques for renewable energy sources. Subsequent chapters discuss grid code requirements and compliance, before presenting a detailed break down of solar and wind integration into power systems. Other topics such as voltage control and optimization, power quality enhancement, and stability control are also considered. Filled with case studies, applications and techniques, Power Systems Operation with 100% Renewable Energy Sources is a valuable read to researchers, students and engineers working towards more sustainable power systems. - Explains Volt/Var control and optimization for both transmission grid and distribution - Discusses renewable energy integration into the weak grid system, along with its challenges, examples, and case studies - Offers simulation examples of renewable energy integration studies that readers will perform using advanced simulation tools - Presents recent trends like energy storage systems and demand responses for improving stability and reliability
Ai Techniques For Renewable Source Integration And Battery Charging Methods In Electric Vehicle Applications
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Author : Angalaeswari, S.
language : en
Publisher: IGI Global
Release Date : 2023-02-03
Ai Techniques For Renewable Source Integration And Battery Charging Methods In Electric Vehicle Applications written by Angalaeswari, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-03 with Technology & Engineering categories.
Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.