The Methodology Of Load Forecasting PDF Download
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| Author | : S.A. Soliman |
| Publisher | : Elsevier |
| Total Pages | : 441 |
| Release | : 2010-05-26 |
| Genre | : Business & Economics |
| ISBN | : 0123815444 |
Download Electrical Load Forecasting Book in PDF, ePub and Kindle
Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models. Step-by-step guide to model construction Construct, verify, and run short and long term models Accurately evaluate load shape and pricing Creat regional specific electrical load models
| Author | : United States. Federal Power Commission. Technical Advisory Committee on Load Forecasting Methodology |
| Publisher | : |
| Total Pages | : 250 |
| Release | : 1969 |
| Genre | : Electric utilities |
| ISBN | : |
Download The Methodology of Load Forecasting Book in PDF, ePub and Kindle
| Author | : Antonio Gabaldón |
| Publisher | : MDPI |
| Total Pages | : 324 |
| Release | : 2021-02-26 |
| Genre | : Technology & Engineering |
| ISBN | : 303943442X |
Download Short-Term Load Forecasting 2019 Book in PDF, ePub and Kindle
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
| Author | : Joe H. Chow |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 345 |
| Release | : 2006-06-03 |
| Genre | : Technology & Engineering |
| ISBN | : 0387234713 |
Download Applied Mathematics for Restructured Electric Power Systems Book in PDF, ePub and Kindle
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
| Author | : Abdelhay A. Sallam |
| Publisher | : John Wiley & Sons |
| Total Pages | : 628 |
| Release | : 2018-11-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1119509319 |
Download Electric Distribution Systems Book in PDF, ePub and Kindle
A comprehensive review of the theory and practice for designing, operating, and optimizing electric distribution systems, revised and updated Now in its second edition, Electric Distribution Systems has been revised and updated and continues to provide a two-tiered approach for designing, installing, and managing effective and efficient electric distribution systems. With an emphasis on both the practical and theoretical approaches, the text is a guide to the underlying theory and concepts and provides a resource for applying that knowledge to problem solving. The authors—noted experts in the field—explain the analytical tools and techniques essential for designing and operating electric distribution systems. In addition, the authors reinforce the theories and practical information presented with real-world examples as well as hundreds of clear illustrations and photos. This essential resource contains the information needed to design electric distribution systems that meet the requirements of specific loads, cities, and zones. The authors also show how to recognize and quickly respond to problems that may occur during system operations, as well as revealing how to improve the performance of electric distribution systems with effective system automation and monitoring. This updated edition: • Contains new information about recent developments in the field particularly in regard to renewable energy generation • Clarifies the perspective of various aspects relating to protection schemes and accompanying equipment • Includes illustrative descriptions of a variety of distributed energy sources and their integration with distribution systems • Explains the intermittent nature of renewable energy sources, various types of energy storage systems and the role they play to improve power quality, stability, and reliability Written for engineers in electric utilities, regulators, and consultants working with electric distribution systems planning and projects, the second edition of Electric Distribution Systems offers an updated text to both the theoretical underpinnings and practical applications of electrical distribution systems.
| Author | : H. Lee Willis |
| Publisher | : CRC Press |
| Total Pages | : 770 |
| Release | : 2002-08-09 |
| Genre | : Technology & Engineering |
| ISBN | : 9780203910764 |
Download Spatial Electric Load Forecasting Book in PDF, ePub and Kindle
Containing 12 new chapters, this second edition offers increased coverage of weather correction and normalization of forecasts, anticipation of redevelopment, determining the validity of announced developments, and minimizing risk from over- or under-planning. It provides specific examples and detailed explanations of key points to consider for both standard and unusual utility forecasting situations, information on new algorithms and concepts in forecasting, a review of forecasting pitfalls and mistakes, case studies depicting challenging forecast environments, and load models illustrating various types of demand.
| Author | : Rafal Weron |
| Publisher | : John Wiley & Sons |
| Total Pages | : 192 |
| Release | : 2007-01-30 |
| Genre | : Business & Economics |
| ISBN | : 0470059990 |
Download Modeling and Forecasting Electricity Loads and Prices Book in PDF, ePub and Kindle
This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data. The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting.
| Author | : Filippo Maria Bianchi |
| Publisher | : Springer |
| Total Pages | : 74 |
| Release | : 2017-11-09 |
| Genre | : Computers |
| ISBN | : 3319703382 |
Download Recurrent Neural Networks for Short-Term Load Forecasting Book in PDF, ePub and Kindle
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system. Significant research has thus been devoted to the design and development of methodologies for short term load forecasting over the past decades. A class of mathematical models, called Recurrent Neural Networks, are nowadays gaining renewed interest among researchers and they are replacing many practical implementations of the forecasting systems, previously based on static methods. Despite the undeniable expressive power of these architectures, their recurrent nature complicates their understanding and poses challenges in the training procedures. Recently, new important families of recurrent architectures have emerged and their applicability in the context of load forecasting has not been investigated completely yet. This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks. The authors test the reviewed models first on controlled synthetic tasks and then on different real datasets, covering important practical cases of study. The text also provides a general overview of the most important architectures and defines guidelines for configuring the recurrent networks to predict real-valued time series.
| Author | : James W. Carneal |
| Publisher | : |
| Total Pages | : 122 |
| Release | : 1981 |
| Genre | : Electric power consumption |
| ISBN | : |
Download The Methodology of Electric Load Forecasting Book in PDF, ePub and Kindle
| Author | : Derek W. Bunn |
| Publisher | : |
| Total Pages | : 256 |
| Release | : 1985 |
| Genre | : Business & Economics |
| ISBN | : |
Download Comparative Models for Electrical Load Forecasting Book in PDF, ePub and Kindle
Takes a practical look at how short-term forecasting has actually been undertaken and is being developed in public utility organizations.
