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 Electronic books 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.
Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy Forecasting
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Author : Wei-Chiang Hong
language : en
Publisher: MDPI
Release Date : 2018-10-19
Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy Forecasting 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 Electronic books categories.
This book is a printed edition of the Special Issue "Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting" that was published in Energies
Ensemble Forecasting Applied To Power Systems
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Author : Antonio Bracale
language : en
Publisher: MDPI
Release Date : 2020-03-10
Ensemble Forecasting Applied To Power Systems written by Antonio Bracale and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Technology & Engineering categories.
Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.
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.
Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy Forecasting
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Author : Wei-Chiang Hong
language : en
Publisher:
Release Date : 2018
Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy Forecasting 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.
More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. These forecasting models have resulted in an over-reliance on the use of informal judgment and higher expenses when lacking the ability to determine data characteristics and patterns. The hybridization of optimization methods and superior evolutionary algorithms can provide important improvements via good parameter determinations in the optimization process, which is of great assistance to actions taken by energy decision-makers. This book aimed to attract researchers with an interest in the research areas described above. Specifically, it sought contributions to the development of any hybrid optimization methods (e.g., quadratic programming techniques, chaotic mapping, fuzzy inference theory, quantum computing, et cetera) with advanced algorithms (e.g., genetic algorithms, ant colony optimization, particle swarm optimization algorithm, et cetera) that have superior capabilities over the traditional optimization approaches to overcome some embedded drawbacks, and the application of these advanced hybrid approaches to significantly improve forecasting accuracy.
Hybrid Intelligent Technologies In Energy Demand Forecasting
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Author : Wei-Chiang Hong
language : en
Publisher: Springer Nature
Release Date : 2020-01-01
Hybrid Intelligent Technologies In Energy Demand Forecasting written by Wei-Chiang Hong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-01 with Business & Economics categories.
This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.
Forecasting Models Of Electricity Prices
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Author : Javier Contreras
language : en
Publisher: MDPI
Release Date : 2018-04-06
Forecasting Models Of Electricity Prices written by Javier Contreras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-06 with categories.
This book is a printed edition of the Special Issue "Forecasting Models of Electricity Prices" that was published in Energies
Advanced Models Of Energy Forecasting
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Author : Xun Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-23
Advanced Models Of Energy Forecasting written by Xun Zhang 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 2022-11-23 with Technology & Engineering categories.
Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid
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Author : Hazra, Sunanda
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid written by Hazra, Sunanda and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.
Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.