Recent Advances In Renewable Energy Automation And Energy Forecasting
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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.
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025
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Author : Piyush Ranjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-18
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025 written by Piyush Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.
This open access volume presents select proceedings of Recent Advances in Artificial Intelligence for Sustainable Development (RAISD).
Crafting A Sustainable Future Through Education And Sustainable Development
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Author : Martínez-Falcó, Javier
language : en
Publisher: IGI Global
Release Date : 2023-09-25
Crafting A Sustainable Future Through Education And Sustainable Development written by Martínez-Falcó, Javier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
In an era where the planet faces unprecedented environmental challenges, such as climate change, loss of biodiversity, and water scarcity, sustainable development has become paramount. Crafting a Sustainable Future Through Education and Sustainable Development delves into the crucial role of educational institutions in shaping a sustainable future from economic, social, and environmental perspectives. By examining new currents and challenges within this discipline, this book provides a valuable study resource that sheds light on the intricate relationship between education and achieving sustainability goals. The book emphasizes the vital role of educational institutions as spaces for fostering new paradigms of human behavior towards the environment. Crafting a Sustainable Future Through Education and Sustainable Development serves as a comprehensive study guide, offering critical reflections and constructive critiques. It covers an array of relevant topics, ranging from artificial intelligence and big data to gender equality, game-based learning, and socio-technological innovation. It is ideal for academics, academic students, and policymakers, this book provides invaluable support for undergraduate and master’s students in business, as well as professionals seeking to deepen their knowledge of the role of education in achieving sustainable development.
Advances In Energy Environment And Materials Science
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Author : Yeping Wang
language : en
Publisher: CRC Press
Release Date : 2016-11-30
Advances In Energy Environment And Materials Science written by Yeping Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Science categories.
The 2016 International Conference on Energy, Environment and Materials Science (EEMS 2016) took place on July 29-31, 2016 in Singapore. EEMS 2016 has been a meeting place for innovative academics and industrial experts in the field of energy and environment research. The primary goal of the conference is to promote research and developmental activities in energy and environment research and further to promote scientific information exchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be organized every year making it an ideal platform for people to share views and experiences in energy, environment and materials science and related areas.
Advanced Statistical Modeling Forecasting And Fault Detection In Renewable Energy Systems
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Author : Fouzi Harrou
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-04-01
Advanced Statistical Modeling Forecasting And Fault Detection In Renewable Energy Systems written by Fouzi Harrou and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Technology & Engineering categories.
Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.
Artificial Intelligence For Renewable Energy Systems
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Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-28
Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas 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 2022-01-28 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Computational Intelligence In Photovoltaic Systems
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Author : Emanuele Ogliari
language : en
Publisher: MDPI
Release Date : 2019-09-05
Computational Intelligence In Photovoltaic Systems written by Emanuele Ogliari and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Technology & Engineering categories.
Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.
Prediction Techniques For Renewable Energy Generation And Load Demand Forecasting
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Author : Anuradha Tomar
language : en
Publisher: Springer Nature
Release Date : 2023-01-20
Prediction Techniques For Renewable Energy Generation And Load Demand Forecasting written by Anuradha Tomar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Technology & Engineering categories.
This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
Recent Advances In Material Manufacturing And Machine Learning
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Author : Rajiv Gupta
language : en
Publisher: CRC Press
Release Date : 2023-05-26
Recent Advances In Material Manufacturing And Machine Learning written by Rajiv Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.
The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.
Advances In Sustainable Energy
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Author : Yong-jun Gao
language : en
Publisher: Springer Nature
Release Date : 2021-09-08
Advances In Sustainable Energy written by Yong-jun Gao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-08 with Technology & Engineering categories.
This books provides a comprehensive platform to the scientific, education and research communities working on various fields related to sustainable energy. It covers the exploration, generation and application of this area to meet societal needs as well as addressing global issues related to the environment. The content of this book presents research related to energy and how to tackle climate change as a comprehensive framework based on the success of the Millennium Development Goals (MDGs). The authors use the scientific method to analyze and deliver viable technical solutions, demonstrating how chemistry and engineering can be combined to solve technically challenging problems. While maintaining high scientific rigor, a quantitative approach is offered in select chapters to the study of energy related to our societies increasing need for electrical and chemical energy feedstocks.