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Author : Esmaeil Oufi
Publisher :
ISBN 13 :
Total Pages : 538 pages
Book Rating : 4.:/5 (451 download)
Download or read book Long-term Load Forecasting in Electric Power Industry written by Esmaeil Oufi and published by . This book was released on 1997 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S.A. Soliman
Publisher : Elsevier
ISBN 13 : 0123815444
Total Pages : 441 pages
Book Rating : 4.1/5 (238 download)
Download or read book Electrical Load Forecasting written by S.A. Soliman and published by Elsevier. This book was released on 2010-05-26 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Joe H. Chow
Publisher : Springer Science & Business Media
ISBN 13 : 0387234713
Total Pages : 345 pages
Book Rating : 4.3/5 (872 download)
Download or read book Applied Mathematics for Restructured Electric Power Systems written by Joe H. Chow and published by Springer Science & Business Media. This book was released on 2006-06-03 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Reza Sedaghati
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659594380
Total Pages : 112 pages
Book Rating : 4.5/5 (943 download)
Download or read book Long-Term Electric Load Demand Forecasting and Modeling written by Reza Sedaghati and published by LAP Lambert Academic Publishing. This book was released on 2015-01-06 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major concern for every electrical utility is the ability to provide reliable and uninterrupted service to their customers. Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. There are three types of load forecasts: short-term, medium-term and long-term. This book focuses on study of short term load forecasting. Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. In this book study of a real sample (Shiraz power distribution network) for forecasting load growth is done, also evaluated various compensation methods from perspectives of long-term load forecasting.
Author : Bridger M. Mitchell
Publisher : Rand Corporation
ISBN 13 : 9780833007148
Total Pages : 16 pages
Book Rating : 4.0/5 (71 download)
Download or read book A Short Guide to Electric Utility Load Forecasting written by Bridger M. Mitchell and published by Rand Corporation. This book was released on 1986 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric utilities, governmental energy agencies, and some private economic forecasting services make long-term forecasts of electricity and peak demand. This report briefly reviews the methods currently used to make such load forecasts, describes sources of variation between forecasts, and discusses the problems that confront electricity forecasters.
Author : Natalia Gotman
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659459382
Total Pages : 100 pages
Book Rating : 4.4/5 (593 download)
Download or read book Electric Load Forecasting Using an Artificial Neural Networks written by Natalia Gotman and published by LAP Lambert Academic Publishing. This book was released on 2014-03 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day - operating forecasting; one-day-week-month-ahead load forecasting - short-term load forecasting; one-month-quarter-year-ahead load forecasting - long-term load forecasting. So far a great number of both conventional and non-conventional electric load forecasting methods and models have been developed. The work presents research results of electric load forecasting for electrical power systems using artificial neural networks and fuzzy logic as one of the most advanced and perspective directions of solving this task. A theoretical approach to the issues discussed is combined with the data of experimental studies implemented with application of load curves of regional electrical power systems. The book is addressed to specialists and researchers concerned with operational control modes of electric power systems.
Author : Mohamed E. El-Hawary
Publisher : John Wiley & Sons
ISBN 13 : 1118171349
Total Pages : 324 pages
Book Rating : 4.1/5 (181 download)
Download or read book Advances in Electric Power and Energy Systems written by Mohamed E. El-Hawary and published by John Wiley & Sons. This book was released on 2017-07-12 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: Introduces advanced methods of time series forecasting, as well as neural networks Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting Addresses river flow forecasting based on autonomous neural network models Deals with price forecasting in a competitive market Includes estimation of post-storm restoration times for electric power distribution systems Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.
Author : Elkarmi, Fawwaz
Publisher : IGI Global
ISBN 13 : 1466601744
Total Pages : 297 pages
Book Rating : 4.4/5 (666 download)
Download or read book Power System Planning Technologies and Applications: Concepts, Solutions and Management written by Elkarmi, Fawwaz and published by IGI Global. This book was released on 2012-02-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the technical planning of power systems, taking into account technological evolutions in equipment as well as the economic, financial, and societal factors that drive supply and demand and have implications for technical planning at the micro level"--Provided by publisher.
Author : Antonio Gabaldón
Publisher : MDPI
ISBN 13 : 303943442X
Total Pages : 324 pages
Book Rating : 4.0/5 (394 download)
Download or read book Short-Term Load Forecasting 2019 written by Antonio Gabaldón and published by MDPI. This book was released on 2021-02-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : K. Morgan Macrae
Publisher : Calgary : Canadian Energy Research Institute
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.F/5 ( download)
Download or read book A Peak Load Forecasting Model Case Study written by K. Morgan Macrae and published by Calgary : Canadian Energy Research Institute. This book was released on 1987 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Description of a computer model developed to account for electrical systemfactors, such as demand, time of use, customer profile and planning horizon, and their effects on system peak demand. The model tests the impact ofelectricity price changes on energy consumption and the demand forpower, by sector. Assuming no change in customer class load curves, themodel is thenused to derive a peak load forecast consistent with a long-term forecast ofcustomer class energy sales. The effects of potential load managementprograms and customer-owned electric power generation in specific sectors areassessed by modifying existing customer class load curves and electricitysales predictions.
Author : Bridger M. Mitchell
Publisher :
ISBN 13 : 9780833007148
Total Pages : 24 pages
Book Rating : 4.0/5 (71 download)
Download or read book A Short Guide to Electric Utility Load Forecasting written by Bridger M. Mitchell and published by . This book was released on 1986 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric utilities, governmental energy agencies, and some private economic forecasting services make long-term forecasts of electricity and peak demand. This report briefly reviews the methods currently used to make such load forecasts, describes sources of variation between forecasts, and discusses the problems that confront electricity forecasters.
Author : Valentin A. Boicea
Publisher : CRC Press
ISBN 13 : 1000437817
Total Pages : 62 pages
Book Rating : 4.0/5 (4 download)
Download or read book Energy Management written by Valentin A. Boicea and published by CRC Press. This book was released on 2021-06-27 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals.
Author : Stanford University. Energy Modeling Forum
Publisher :
ISBN 13 :
Total Pages : 444 pages
Book Rating : 4.F/5 ( download)
Download or read book Electric Load Forecasting written by Stanford University. Energy Modeling Forum and published by . This book was released on 1980 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Changes in energy markets over the last decade have made capacity planning by electric utilities increasingly difficult, but also increasingly important to producers and users of energy. In particular, long-range forecasts f the use of electricity have received greater scrutiny, forecasting prolems and methods have become more complex, and results have been subject to greater uncertainty and challenge than before. EPRI, in the Energy Modeling Forum, brought together a working group from utilities, research institutes, government agencies, universities and consulting firms to identify the issues that could have significant impacts on future electricity consumption.
Author : Maria Jacob
Publisher : Springer Nature
ISBN 13 : 303028669X
Total Pages : 108 pages
Book Rating : 4.0/5 (32 download)
Download or read book Forecasting and Assessing Risk of Individual Electricity Peaks written by Maria Jacob and published by Springer Nature. This book was released on 2019-09-25 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples. In order to achieve carbon targets, good forecasts of peaks are essential. For instance, shifting demand or charging battery depends on correct demand predictions in time. Majority of forecasting algorithms historically were focused on average load prediction. In order to model the peaks, methods from extreme value theory are applied. This allows us to study extremes without making any assumption on the central parts of demand distribution and to predict beyond the range of available data. While applied on individual loads, the techniques described in this book can be extended naturally to substations, or to commercial settings. Extreme value theory techniques presented can be also used across other disciplines, for example for predicting heavy rainfalls, wind speed, solar radiation and extreme weather events. The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general.
Author : Zeyi Chen
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.3/5 ( download)
Download or read book Long-term Peak Electricity Load Forecasting in Taiwan written by Zeyi Chen and published by . This book was released on 1996 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : H. Lee Willis
Publisher : CRC Press
ISBN 13 : 9780203910764
Total Pages : 770 pages
Book Rating : 4.9/5 (17 download)
Download or read book Spatial Electric Load Forecasting written by H. Lee Willis and published by CRC Press. This book was released on 2002-08-09 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Yi Wang
Publisher : Springer Nature
ISBN 13 : 9811526249
Total Pages : 306 pages
Book Rating : 4.8/5 (115 download)
Download or read book Smart Meter Data Analytics written by Yi Wang and published by Springer Nature. This book was released on 2020-02-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
