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.
Data Analytics For Renewable Energy Integration
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Author : Wei Lee Woon
language : en
Publisher: Springer
Release Date : 2015-12-14
Data Analytics For Renewable Energy Integration 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 2015-12-14 with Computers categories.
This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
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 Renewable Energy Integration Technologies Systems And Society
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Author : Wei Lee Woon
language : en
Publisher: Springer
Release Date : 2018-11-16
Data Analytics For Renewable Energy Integration Technologies Systems And Society 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 2018-11-16 with Computers categories.
This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 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.
Data Analytics For Renewable Energy Integration
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Author : Wei Lee Woon
language : en
Publisher: Springer
Release Date : 2017-01-18
Data Analytics For Renewable Energy Integration 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 2017-01-18 with Computers categories.
This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. 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.
Data Analytics For Renewable Energy Integration
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Author : Wei Lee Woon
language : en
Publisher: Springer
Release Date : 2014-11-20
Data Analytics For Renewable Energy Integration 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 2014-11-20 with Computers categories.
This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
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 : 2024-01-03
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 2024-01-03 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.
Big Data Analysis For Smart Electrical Energy Distribution Systems
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Author : Mohan Kolhe
language : en
Publisher: Academic Press
Release Date : 2022-04-15
Big Data Analysis For Smart Electrical Energy Distribution Systems written by Mohan Kolhe and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-15 with Technology & Engineering categories.
Big Data Analysis for Smart Electrical Energy Distribution Systems covers the application of big data analytics and techniques with selective applications for the operation, analysis, planning and design of future electrical distribution systems. The book provides data-driven applications in smart distribution systems, machine learning techniques for renewable energy predictions, and load forecasting examples for intelligent techno-economic operation and control of the network as a microgrid. This title gives those within this multidisciplinary field a comprehensive look at machine learning techniques for renewable energy prediction, demand forecasting, and intelligent techno-economic operation and control of distributed energy systems. With electricity networks changing rapidly due to the increased integration of intermittent and variable power generation from renewable energy sources, mismatch between the supply and demand of electricity is also on the rise. Hence, the use of new renewables is a widely discussed topic. Presents a systematic and integrated reference on data-driven applications for solving the problems of electrical energy distribution network topologies using smart energy meter data Provides a comprehensive look at the machine learning techniques available for renewable energy prediction, demand forecasting, and intelligent techno-economic operation and control of distributed energy systems Features specific data driven approaches for demand side management with grid constraints and the development of dynamic electrical energy pricing
Analytics And Optimization For Renewable Energy Integration
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Author : Ning Zhang
language : en
Publisher: Energy Analytics
Release Date : 2022
Analytics And Optimization For Renewable Energy Integration written by Ning Zhang and has been published by Energy Analytics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Renewable energy sources categories.
The scope of this book covers the modeling and forecast of renewable energy, and operation and planning of power system with renewable energy integration. The first part presents stochastic mathematic theories used for this book; the second part presents modeling and analytic techniques for renewable energy, including short term and long term uncertainty modeling, forecast, output simulation, and scenario clustering; the third part provides solutions on how to handle the uncertainty of renewable energy in power system operation, including advanced stochastic unit commitment, probabilistic load flow, market bidding strategy, and tie-line scheduling: the last part introduces planning approaches for renewable energy integration, including long term power system operation simulation, capacity credit assessment, generation and transmission planning with renewable energy integration. Book jacket.
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.