Energy Demand Forecasting

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Hybrid Intelligent Technologies in Energy Demand Forecasting

Author : Wei-Chiang Hong
Publisher : Springer Nature
ISBN 13 : 3030365298
Total Pages : 179 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Hybrid Intelligent Technologies in Energy Demand Forecasting by : Wei-Chiang Hong

Download or read book Hybrid Intelligent Technologies in Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Nature. This book was released on 2020-01-01 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Energy Demand Forecasting

Author : Wei-Chiang Hong
Publisher : Springer Science & Business Media
ISBN 13 : 1447149688
Total Pages : 203 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Energy Demand Forecasting by : Wei-Chiang Hong

Download or read book Intelligent Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Author : Federico Divina
Publisher : MDPI
ISBN 13 : 3036508627
Total Pages : 100 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast by : Federico Divina

Download or read book Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast written by Federico Divina and published by MDPI. This book was released on 2021-08-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting.

Forecasting U.S. Electricity Demand

Author : Adela Maria Bolet
Publisher : Routledge
ISBN 13 : 0429711468
Total Pages : 274 pages
Book Rating : 4.4/5 (297 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 2019-08-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the energy headlines of 1985 proclaim the waning of OPEC, the collapse of oil prices, and the demise of the nuclear power industry, few policy analysts are examining the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century. In this pioneering work, Adela Maria Bolet attempts to do exactly this, namely, to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.

Modeling and Forecasting Electricity Demand

Author : Kevin Berk
Publisher : Springer Spektrum
ISBN 13 : 9783658086688
Total Pages : 0 pages
Book Rating : 4.0/5 (866 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 Spektrum. This book was released on 2015-01-30 with total page 0 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.

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.

Energy for Sustainable Development

Author : Md Hasanuzzaman
Publisher : Academic Press
ISBN 13 : 0128146451
Total Pages : 218 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Energy for Sustainable Development by : Md Hasanuzzaman

Download or read book Energy for Sustainable Development written by Md Hasanuzzaman and published by Academic Press. This book was released on 2019-06-15 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy for Sustainable Development: Demand, Supply, Conversion and Management presents a comprehensive look at recent developments and provides guidance on energy demand, supply, analysis and forecasting of modern energy technologies for sustainable energy conversion. The book analyzes energy management techniques and the economic and environmental impact of energy usage and storage. Including modern theories and the latest technologies used in the conversion of energy for traditional fossil fuels and renewable energy sources, this book provides a valuable reference on recent innovations. Researchers, engineers and policymakers will find this book to be a comprehensive guide on modern theories and technologies for sustainable development. Uniquely covers Energy Demand, Supply, Conversion and Management in one complete reference Offers relevant information for both undergraduate and postgraduate programs on energy conversion, making it a key reference for study Includes extensive coverage that links energy conversion with efficiency and management through storage, savings, economics and environmental impact

Forecasting and Assessing Risk of Individual Electricity Peaks

Author : Maria Jacob
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.

Energy Demand Forecasting Issues

Author : Michael R. Jaske
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Energy Demand Forecasting Issues by : Michael R. Jaske

Download or read book Energy Demand Forecasting Issues written by Michael R. Jaske and published by . This book was released on 1985 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Demand Forecasting for Electric Utilities

Author : Clark W. Gellings
Publisher :
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Demand Forecasting for Electric Utilities by : Clark W. Gellings

Download or read book Demand Forecasting for Electric Utilities written by Clark W. Gellings and published by . This book was released on 1992 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

California Energy Demand, 1989-2009: Electricity demand forecasting methods

Author :
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis California Energy Demand, 1989-2009: Electricity demand forecasting methods by :

Download or read book California Energy Demand, 1989-2009: Electricity demand forecasting methods written by and published by . This book was released on 1989 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Energy Demand Forecasting Model for Oregon

Author : Mary Beth Corrigan
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (987 download)

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Book Synopsis An Energy Demand Forecasting Model for Oregon by : Mary Beth Corrigan

Download or read book An Energy Demand Forecasting Model for Oregon written by Mary Beth Corrigan and published by . This book was released on 1981 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Synopsis of the Energy Demand Forecasting Peer Review Workshop

Author : Michael R. Jaske
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis A Synopsis of the Energy Demand Forecasting Peer Review Workshop by : Michael R. Jaske

Download or read book A Synopsis of the Energy Demand Forecasting Peer Review Workshop written by Michael R. Jaske and published by . This book was released on 1980 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Author : Francisco A. Gómez Vela
Publisher :
ISBN 13 : 9783036508634
Total Pages : 100 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast by : Francisco A. Gómez Vela

Download or read book Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast written by Francisco A. Gómez Vela and published by . This book was released on 2021 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting. In light of the above, this Special Issue collects the latest research on relevant topics, in particular in energy demand forecasts, and the use of advanced optimization methods and big data techniques. Here, by energy, we mean any kind of energy, e.g., electrical, solar, microwave, or wind.

Energy Demand Forecasting

Author : United States. Congress. House. Committee on Science and Technology. Subcommittee on Investigations and Oversight
Publisher :
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Energy Demand Forecasting by : United States. Congress. House. Committee on Science and Technology. Subcommittee on Investigations and Oversight

Download or read book Energy Demand Forecasting written by United States. Congress. House. Committee on Science and Technology. Subcommittee on Investigations and Oversight and published by . This book was released on 1981 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Energy Demand Forecasting Model for Oregon

Author : Oregon. Energy Planning Program
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis An Energy Demand Forecasting Model for Oregon by : Oregon. Energy Planning Program

Download or read book An Energy Demand Forecasting Model for Oregon written by Oregon. Energy Planning Program and published by . This book was released on 1977 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Energy Demand: Facts and Trends

Author : B. Chateau
Publisher : Springer
ISBN 13 : 9783709186411
Total Pages : 0 pages
Book Rating : 4.1/5 (864 download)

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Book Synopsis Energy Demand: Facts and Trends by : B. Chateau

Download or read book Energy Demand: Facts and Trends written by B. Chateau and published by Springer. This book was released on 2011-12-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fIrst oil crisis of 1973-74 and the questions it raised in the economic and social fIelds drew attention to energy issues. Industrial societies, accustomed for two decades or more to energy sufficiently easy to produce and cheap to consume that it was thought to be inexhaustible, began to question their energy future. The studies undertaken at that time, and since, on a national, regional, or world level were over-optimistic. The problem seemed simple enough to solve. On the one hand, a certain number of resources: coal, the abundance of which was discovered, or rather rediscovered oil, source of all the problems ... In fact, the problems seemed to come, if not from oil itself (an easy explanation), then from those who produced it without really owning it, and from those who owned it without really control ling it natural gas, second only to oil and less compromised uranium, all of whose promises had not been kept, but whose resources were not in question solar energy, multiform and really inexhaustible thermonuclear fusion, and geothermal energy, etc. On the other hand, energy consumption, though excessive perhaps, was symbolic of progress, development, and increased well being. The originality of the energy policies set up since 1974 lies in the fact they no longer aimed to produce (or import) more, but to consume less. They sought, and still seek, what might be emphatically called the control of energy consump tion, or rather the control of energy demand.