Commercial Industrial And Household Electrical Load Modelling And Short Term Load Forecasting

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Electrical Load Forecasting

Author : S.A. Soliman
Publisher : Elsevier
ISBN 13 : 0123815444
Total Pages : 441 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Electrical Load Forecasting by : S.A. Soliman

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

Smart Meter Data Analytics

Author : Yi Wang
Publisher : Springer Nature
ISBN 13 : 9811526249
Total Pages : 306 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Smart Meter Data Analytics by : Yi Wang

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.

Short-Term Load Forecasting 2019

Author : Antonio Gabaldón
Publisher : MDPI
ISBN 13 : 303943442X
Total Pages : 324 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Short-Term Load Forecasting 2019 by : Antonio Gabaldón

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.

Recurrent Neural Networks for Short-Term Load Forecasting

Author : Filippo Maria Bianchi
Publisher : Springer
ISBN 13 : 3319703382
Total Pages : 74 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recurrent Neural Networks for Short-Term Load Forecasting by : Filippo Maria Bianchi

Download or read book Recurrent Neural Networks for Short-Term Load Forecasting written by Filippo Maria Bianchi and published by Springer. This book was released on 2017-11-09 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : John Wiley & Sons
ISBN 13 : 1119786274
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

A Textbook of Electric Power Distribution Automation

Author : Dr. M.K. Khedkar
Publisher : Laxmi Publications, Ltd.
ISBN 13 : 9789380386218
Total Pages : 236 pages
Book Rating : 4.3/5 (862 download)

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Book Synopsis A Textbook of Electric Power Distribution Automation by : Dr. M.K. Khedkar

Download or read book A Textbook of Electric Power Distribution Automation written by Dr. M.K. Khedkar and published by Laxmi Publications, Ltd.. This book was released on 2010 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Energy Abstracts for Policy Analysis

Author :
Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Energy Abstracts for Policy Analysis by :

Download or read book Energy Abstracts for Policy Analysis written by and published by . This book was released on 1989 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting and Assessing Risk of Individual Electricity Peaks

Author : Danica Vukadinovic Greetham
Publisher :
ISBN 13 : 9781013273797
Total Pages : 106 pages
Book Rating : 4.2/5 (737 download)

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Book Synopsis Forecasting and Assessing Risk of Individual Electricity Peaks by : Danica Vukadinovic Greetham

Download or read book Forecasting and Assessing Risk of Individual Electricity Peaks written by Danica Vukadinovic Greetham and published by . This book was released on 2020-10-08 with total page 106 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Applied Mathematics for Restructured Electric Power Systems

Author : Joe H. Chow
Publisher : Springer Science & Business Media
ISBN 13 : 0387234713
Total Pages : 345 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Applied Mathematics for Restructured Electric Power Systems by : Joe H. Chow

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.

Machine Learning for Sustainable Development

Author : Kamal Kant Hiran
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110702517
Total Pages : 214 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Machine Learning for Sustainable Development by : Kamal Kant Hiran

Download or read book Machine Learning for Sustainable Development written by Kamal Kant Hiran and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-07-19 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

A Fire Upon The Deep

Author : Vernor Vinge
Publisher : Tor Science Fiction
ISBN 13 : 1429981989
Total Pages : 626 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis A Fire Upon The Deep by : Vernor Vinge

Download or read book A Fire Upon The Deep written by Vernor Vinge and published by Tor Science Fiction. This book was released on 2010-04-01 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now with a new introduction for the Tor Essentials line, A Fire Upon the Deep is sure to bring a new generation of SF fans to Vinge's award-winning works. A Hugo Award-winning Novel! “Vinge is one of the best visionary writers of SF today.”-David Brin Thousands of years in the future, humanity is no longer alone in a universe where a mind's potential is determined by its location in space, from superintelligent entities in the Transcend, to the limited minds of the Unthinking Depths, where only simple creatures, and technology, can function. Nobody knows what strange force partitioned space into these "regions of thought," but when the warring Straumli realm use an ancient Transcendent artifact as a weapon, they unwittingly unleash an awesome power that destroys thousands of worlds and enslaves all natural and artificial intelligence. Fleeing this galactic threat, Ravna crash lands on a strange world with a ship-hold full of cryogenically frozen children, the only survivors from a destroyed space-lab. They are taken captive by the Tines, an alien race with a harsh medieval culture, and used as pawns in a ruthless power struggle. Tor books by Vernor Vinge Zones of Thought Series A Fire Upon The Deep A Deepness In The Sky The Children of The Sky Realtime/Bobble Series The Peace War Marooned in Realtime Other Novels The Witling Tatja Grimm's World Rainbows End Collections Collected Stories of Vernor Vinge True Names At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Comparative Models for Electrical Load Forecasting

Author : Derek W. Bunn
Publisher :
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Comparative Models for Electrical Load Forecasting by : Derek W. Bunn

Download or read book Comparative Models for Electrical Load Forecasting written by Derek W. Bunn and published by . This book was released on 1985 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes a practical look at how short-term forecasting has actually been undertaken and is being developed in public utility organizations.

Proceedings of the International Conference on Consumer Technology and Engineering Innovation (ICONTENTION 2023)

Author : Utamy Sukmayu Saputri
Publisher : Springer Nature
ISBN 13 : 9464634065
Total Pages : 176 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the International Conference on Consumer Technology and Engineering Innovation (ICONTENTION 2023) by : Utamy Sukmayu Saputri

Download or read book Proceedings of the International Conference on Consumer Technology and Engineering Innovation (ICONTENTION 2023) written by Utamy Sukmayu Saputri and published by Springer Nature. This book was released on 2024 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting in Mathematics

Author : Abdo Abou Jaoude
Publisher : BoD – Books on Demand
ISBN 13 : 1838808256
Total Pages : 156 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Forecasting in Mathematics by : Abdo Abou Jaoude

Download or read book Forecasting in Mathematics written by Abdo Abou Jaoude and published by BoD – Books on Demand. This book was released on 2021-01-27 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.

Short-Term Load Forecasting by Artificial Intelligent Technologies

Author : Wei-Chiang Hong
Publisher : MDPI
ISBN 13 : 3038975826
Total Pages : 445 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Short-Term Load Forecasting by Artificial Intelligent Technologies by : Wei-Chiang Hong

Download or read book Short-Term Load Forecasting by Artificial Intelligent Technologies written by Wei-Chiang Hong and published by MDPI. This book was released on 2019-01-29 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies

Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions

Author : Khan, Mohammad Ayoub
Publisher : IGI Global
ISBN 13 : 1466602953
Total Pages : 661 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions by : Khan, Mohammad Ayoub

Download or read book Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2012-03-31 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is the best source for the most current, relevant, cutting edge research in the field of industrial informatics focusing on different methodologies of information technologies to enhance industrial fabrication, intelligence, and manufacturing processes"--Provided by publisher.

Modeling and Forecasting Electricity Loads and Prices

Author : Rafal Weron
Publisher : John Wiley & Sons
ISBN 13 : 0470059990
Total Pages : 192 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Modeling and Forecasting Electricity Loads and Prices by : Rafal Weron

Download or read book Modeling and Forecasting Electricity Loads and Prices written by Rafal Weron and published by John Wiley & Sons. This book was released on 2007-01-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.