Data Analytics For Renewable Energy Integration Informing The Generation And Distribution Of Renewable Energy
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Data Analytics For Renewable Energy Integration Informing The Generation And Distribution Of Renewable Energy
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Author : Wei Lee Woon
language : en
Publisher: Springer
Release Date : 2017-11-24
Data Analytics For Renewable Energy Integration Informing The Generation And Distribution Of Renewable Energy written by Wei Lee Woon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-24 with Computers categories.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.
15th International Conference On Soft Computing Models In Industrial And Environmental Applications Soco 2020
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Author : Álvaro Herrero
language : en
Publisher: Springer Nature
Release Date : 2020-08-28
15th International Conference On Soft Computing Models In Industrial And Environmental Applications Soco 2020 written by Álvaro Herrero and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Technology & Engineering categories.
This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak, the SOCO 2020 edition was blended, combining on-site and on-line participation. In this relevant edition a special emphasis was put on the organization of special sessions. Eleven special session were organized related to relevant topics such as: Soft Computing Applications in Precision Agriculture, Manufacturing and Management Systems, Management of Industrial and Environmental Enterprises, Logistics and Transportation Systems, Robotics and Autonomous Vehicles, Computer Vision, Laser-Based Sensing and Measurement and other topics such as Forecasting Industrial Time Series, IoT, Big Data and Cyber Physical Systems, Non-linear Dynamical Systems and Fluid Dynamics, Modeling and Control systems The selection of papers was extremely rigorous in order to maintain the high quality of SOCO conference editions and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.
Data Analytics For Smart Grids Applications A Key To Smart City Development
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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-11-29
Data Analytics For Smart Grids Applications A Key To Smart City Development written by Devendra Kumar Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Computers categories.
This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
Data Analytics And Artificial Intelligence For Earth Resource Management
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Author : Deepak Kumar
language : en
Publisher: Elsevier
Release Date : 2024-11-13
Data Analytics And Artificial Intelligence For Earth Resource Management written by Deepak Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Science categories.
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
The Elgar Companion To Energy And Sustainability
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Author : Catalina Spataru
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-11-08
The Elgar Companion To Energy And Sustainability written by Catalina Spataru and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with Business & Economics categories.
This Companion provides a comprehensive interdisciplinary review of the future of energy, sustainability and societal well-being. It explores energyÕs connection to the Sustainable Development Goals (SDGs) using a variety of perspectives from business sustainability, disruptive technologies, law, health and finance.
Integrating Artificial Intelligence Into The Energy Sector
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Integrating Artificial Intelligence Into The Energy Sector written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.
Smart Cities Power Electronics Renewable Energy And Internet Of Things
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Author : Ahteshamul Haque
language : en
Publisher: CRC Press
Release Date : 2024-02-15
Smart Cities Power Electronics Renewable Energy And Internet Of Things written by Ahteshamul Haque and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Technology & Engineering categories.
This book discusses the integration of power electronics, renewable energy, and the Internet of Things (IoT) from the perspective of smart cities in a single volume. The text will be helpful for senior undergraduate, graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, and computers. The book: Covers the integration of power electronics, energy harvesting, and the IoT for smart city applications Discusses concepts of power electronics and the IoT in electric vehicles for smart cities Examines the integration of power electronics in renewable energy for smart cities Discusses important concepts of energy harvesting including solar energy harvesting, maximum power point tracking (MPPT) controllers, and switch-mode power supplies (SMPS) Explores IoT connectivity technologies such as long-term evolution (LTE), narrow band NB-IoT, long-range (LoRa), Bluetooth, and ZigBee (IEEE Standard 802.15.4) for low data rate wireless personal communication applications The text provides the knowledge about applications, technologies, and standards of power electronics, renewable energy, and IoT for smart cities. It will serve as an ideal reference text for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, civil engineering, and environmental engineering.
Recent Advances In Renewable Energy Automation And Energy Forecasting
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Author : Sarat Kumar Sahoo
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-08
Recent Advances In Renewable Energy Automation And Energy Forecasting written by Sarat Kumar Sahoo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Technology & Engineering categories.
The advancement of sustainable energy is becoming an important concern for many countries. The traditional electrical grid supports only one-way interaction of power being delivered to the consumers. The emergence of improved sensors, actuators, and automation technologies has consequently improved the control, monitoring and communication techniques within the energy sector, including the Smart Grid system. With the support of the aforementioned modern technologies, the information flows in two-ways between the consumer and supplier. This data communication helps the supplier in overcoming challenges like integration of renewable technologies, management of energy demand, load automation and control. Renewable energy (RE) is intermittent in nature and therefore difficult to predict. The accurate RE forecasting is very essential to improve the power system operations. The forecasting models are based on complex function combinations that include seasonality, fluctuation, and dynamic nonlinearity. The advanced intelligent computing algorithms for forecasting should consider the proper parameter determinations for achieving optimization. For this we need, new generation research areas like Machine learning (ML), and Artificial Intelligence (AI) to enable the efficient integration of distributed and renewable generation at large scale and at all voltage levels. The modern research in the above areas will improve the efficiency, reliability and sustainability in the Smart grid.
Navigating Complexity
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Author : Hassan Qudrat-Ullah
language : en
Publisher: Springer Nature
Release Date : 2025-02-08
Navigating Complexity written by Hassan Qudrat-Ullah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Psychology categories.
This book, “Navigating Complexity: AI and Systems Thinking for Smarter Decisions” delves into the integration of Artificial Intelligence (AI) and systems thinking to enhance decision-making in complex and dynamic environments. Aimed at professionals, researchers, and academics in fields such as management, healthcare, sustainability, and public policy, it provides a comprehensive exploration of how these two approaches can be synergistically employed. The main topics include the theoretical foundations of complexity science, the practical application of AI and systems thinking tools, and real-world case studies demonstrating their combined use. These topics are crucial as they address the need for advanced methodologies to navigate and manage the increasing complexity in modern decision-making scenarios. The book seeks to solve the problem of effectively managing complexity by offering innovative frameworks and models that integrate AI’s data-driven capabilities with systems thinking’s holistic approach. This integration is essential for improving decision-making processes across various domains, providing readers with actionable insights and tools to tackle contemporary challenges.
Data Science In Action
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-07-09
Data Science In Action written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Unlock the transformative power of data with "Data Science in Action," your gateway to understanding how data science is revolutionizing diverse industries. This compelling eBook explores cutting-edge applications of data science that are not only reshaping businesses but also improving everyday lives. Dive into the world of healthcare, where data-driven insights are driving predictive analytics to prevent diseases and foster personalized medicine. Explore how retailers harness data to decipher consumer behavior and optimize pricing strategies, while financial institutions enhance risk management through sophisticated fraud detection and credit scoring models. "Data Science in Action" takes you beyond theory, presenting practical applications in marketing with targeted advertising and dynamic pricing strategies, and in education with adaptive learning systems that cater to individual needs. Discover the innovations transforming manufacturing processes through predictive maintenance and quality control, and see how smart farming techniques are boosting agricultural efficiency. From streamlining logistics in transportation to refining energy management with smart grids and renewable forecasts, every chapter unveils how data science is embedded in the fabric of our modern era. Uncover the secrets of viewer engagement in entertainment, and delve into data-driven decision-making in government policy and crime prevention. This book also ventures into real estate with predictive modeling and urban planning insights, unlocking the strategies behind successful property valuations. In sports, data is enhancing athlete performance and honing fan engagement strategies. "Data Science in Action" concludes with a forward-looking perspective on emerging trends and technologies, while addressing the ethical considerations and challenges inherent in this transformative field. Whether you're a data science enthusiast or a professional seeking to integrate data insights into your operations, this eBook is your ultimate guide to understanding and applying the principles of data science in practical, impactful ways. Transform how you perceive and utilize data today with "Data Science in Action."