Forecasting and Assessing Risk of Individual Electricity Peaks

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Publisher : Springer Nature
ISBN 13 : 303028669X
Total Pages : 108 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Forecasting and Assessing Risk of Individual Electricity Peaks by : Maria Jacob

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.

Forecasting and Assessing Risk of Individual Electricity Peaks

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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.

Core Concepts and Methods in Load Forecasting

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Publisher : Springer Nature
ISBN 13 : 3031278526
Total Pages : 332 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Core Concepts and Methods in Load Forecasting by : Stephen Haben

Download or read book Core Concepts and Methods in Load Forecasting written by Stephen Haben and published by Springer Nature. This book was released on 2023-06-01 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks. From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital. This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.

Machine Learning, Optimization, and Data Science

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Publisher : Springer Nature
ISBN 13 : 3030645835
Total Pages : 740 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2021-01-07 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Artificial Intelligence for Sustainable Energy

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Publisher : Springer Nature
ISBN 13 : 9819998336
Total Pages : 413 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence for Sustainable Energy by : Jimson Mathew

Download or read book Artificial Intelligence for Sustainable Energy written by Jimson Mathew and published by Springer Nature. This book was released on with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design and Control of Grid-Connected Photovoltaic System

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Publisher : CRC Press
ISBN 13 : 1000857506
Total Pages : 243 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Design and Control of Grid-Connected Photovoltaic System by : Ahteshamul Haque

Download or read book Design and Control of Grid-Connected Photovoltaic System written by Ahteshamul Haque and published by CRC Press. This book was released on 2023-04-28 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current model for electricity generation and distribution is dominated by centralized power plants which are typically associated with combustion (coal, oil, and natural gas) or nuclear generation units. These power models require distribution from the center to outlying consumers and have many disadvantages concerning the electric utilities, transmission and distribution, and greenhouse gas emissions. This resulted in the modelling and development of cleaner renewable power generation with alternative sources such as photovoltaic (PV), wind, and other sources. Further, due to matured PV technology, constant drop-in installation cost, greenhouse emissions reductions, energy efficiency, reduced transmission and distribution investments, minimization of electric losses, and network support, the development of PV systems is proliferating. In view of this development, this book provides an idea for setting up the PV plant from initial study of the site to plan sizing. Once the first planning is covered, the book focuses on the modeling aspects of power electronics converter and control elements associated with it keeping the operating standards specified for the development of distributed generation systems in check. This book will be useful for industrial professionals and researchers who are working toward modeling of PV plants, and their control in grid connected operation. All the necessary information related to these fields is available in the book.

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

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Publisher : Springer Nature
ISBN 13 : 3030442896
Total Pages : 880 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) by : Aboul-Ella Hassanien

Download or read book Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2020-03-23 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.

The Forecasting of the Distribution of Weekly Peak Electricity Demand and Its Application to Planned Outage Scheduling

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Publisher :
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis The Forecasting of the Distribution of Weekly Peak Electricity Demand and Its Application to Planned Outage Scheduling by : David Reifschneider

Download or read book The Forecasting of the Distribution of Weekly Peak Electricity Demand and Its Application to Planned Outage Scheduling written by David Reifschneider and published by . This book was released on 1983 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting U.S. Electricity Demand

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Publisher :
ISBN 13 :
Total Pages : 237 pages
Book Rating : 4.:/5 (959 download)

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Book Synopsis Forecasting U.S. Electricity Demand by : Adela Maria Bolet

Download or read book Forecasting U.S. Electricity Demand written by Adela Maria Bolet and published by . This book was released on 1985 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting U.s. Electricity Demand

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Author :
Publisher : Westview Press
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.:/5 (45 download)

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Book Synopsis Forecasting U.s. Electricity Demand by : Adela Maria Bolet

Download or read book Forecasting U.s. Electricity Demand written by Adela Maria Bolet and published by Westview Press. This book was released on 1985-06-19 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fossil Energy Update

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Publisher :
ISBN 13 :
Total Pages : 892 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Fossil Energy Update by :

Download or read book Fossil Energy Update written by and published by . This book was released on 1983 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Forecasting U.S. Electricity Demand

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Publisher : Routledge
ISBN 13 : 9780367158156
Total Pages : 292 pages
Book Rating : 4.1/5 (581 download)

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Book Synopsis Forecasting U.S. Electricity Demand by : Adela Maria Bolet

Download or read book Forecasting U.S. Electricity Demand written by Adela Maria Bolet and published by Routledge. This book was released on 2022-06-30 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this pioneering work, Adela Maria Bolet attempts to examine the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.

Spatial Electric Load Forecasting

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Publisher : CRC Press
ISBN 13 : 9780203910764
Total Pages : 770 pages
Book Rating : 4.9/5 (17 download)

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Book Synopsis Spatial Electric Load Forecasting by : H. Lee Willis

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.

Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch

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Publisher : Springer Nature
ISBN 13 : 9819907993
Total Pages : 271 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch by : Yuanzheng Li

Download or read book Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch written by Yuanzheng Li and published by Springer Nature. This book was released on 2023-05-05 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

Modeling and Forecasting Electricity Demand

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Publisher : Springer
ISBN 13 : 3658086696
Total Pages : 123 pages
Book Rating : 4.6/5 (58 download)

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Book Synopsis Modeling and Forecasting Electricity Demand by : Kevin Berk

Download or read book Modeling and Forecasting Electricity Demand written by Kevin Berk and published by Springer. This book was released on 2015-01-20 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.

Energy Abstracts for Policy Analysis

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Publisher :
ISBN 13 :
Total Pages : 700 pages
Book Rating : 4.E/5 ( 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 1988 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:

CRC Handbook of Energy Efficiency

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Publisher : CRC Press
ISBN 13 : 9780849325144
Total Pages : 1146 pages
Book Rating : 4.3/5 (251 download)

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Book Synopsis CRC Handbook of Energy Efficiency by : Frank Kreith

Download or read book CRC Handbook of Energy Efficiency written by Frank Kreith and published by CRC Press. This book was released on 1996-10-24 with total page 1146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing the needs of engineers, energy planners, and policy makers, CRC Handbook of Energy Efficiency provides up-to-date information on all important issues related to efficient energy use, including: Efficient energy technologies Economics Utility restructuring Integrated resource planning Energy efficient building design Industrial energy conservation Wind energy Solar thermal systems Photovoltaics Renewable energy Cogeneration Fossil fuel cost projections The rapid changes that characterize the technology of energy generation systems, and the forthcoming competition among energy producers, make this handbook a must for anyone involved in the science, technology, or policy of energy. The 53 expert contributors from industry, government, and universities, and the 600+ figures and tables make CRC Handbook of Energy Efficiency a professional and valuable resource.