Download or read book Modeling and Analysis of Electricity Demand by Time of day written by Rocco Fazzolare and published by . This book was released on 1979 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling and Analysis of Electricity Demand by Time of day written by Rocco Fazzolare and published by . This book was released on 1978 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report includes several papers on modeling and forecasting electricity demands by time -of -day that were presented at a workshop in San Diego, June 11-14, 1978.The papers and the accompanying discussants' comments present a cross section of the state of the art in research on the responsiveness of electricity demands to time -of -day rates. Preliminary analyses of several residential peak -load -pricing experiments present diverse estimates of the responsiveness of household electricity demand to time -of -day prices. As yet, there are few results that are directly applicable to utility forecasting and planning, however these analyses undoubtedly lay the foundation for useful results in the near future. There is only a small amount of data and even less analysis on the price responsiveness of load patterns in the commercial and industrial sectors. The volume is concluded with several insightful commentators' overviews of where the state of the art is and where it ought to be extended.
Download or read book A Regional Model of Time of Day Electricity Demand written by Allen Pershing Mitchem and published by . This book was released on 1981 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Residential Electricity Demand Under Time of day Pricing written by Willard G. Manning and published by . This book was released on 1980 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Variable response Model of Electricity Demand by Time of Day written by Lee A. Lillard and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Social Experimentation written by Jerry A. Hausman and published by University of Chicago Press. This book was released on 2007-12-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1970 the United States government has spent over half a billion dollars on social experiments intended to assess the effect of potential tax policies, health insurance plans, housing subsidies, and other programs. Was it worth it? Was anything learned from these experiments that could not have been learned by other, and cheaper, means? Could the experiments have been better designed or analyzed? These are some of the questions addressed by the contributors to this volume, the result of a conference on social experimentation sponsored in 1981 by the National Bureau of Economic Research. The first section of the book looks at four types of experiments and what each accomplished. Frank P. Stafford examines the negative income tax experiments, Dennis J. Aigner considers the experiments with electricity pricing based on time of use, Harvey S. Rosen evaluates housing allowance experiments, and Jeffrey E. Harris reports on health experiments. In the second section, addressing experimental design and analysis, Jerry A. Hausman and David A. Wise highlight the absence of random selection of participants in social experiments, Frederick Mosteller and Milton C. Weinstein look specifically at the design of medical experiments, and Ernst W. Stromsdorfer examines the effects of experiments on policy. Each chapter is followed by the commentary of one or more distinguished economists.
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.
Download or read book Public Sector Economics written by Jörg Finsinger and published by Springer. This book was released on 1983-06-30 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Innovative Data Communication Technologies and Application written by Jennifer S. Raj and published by Springer Nature. This book was released on 2020-01-30 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state-of-the-art in data engineering practices to tackle massive data distributions in smart networked environments. It also provides insights into potential data distribution challenges in ubiquitous data-driven networks, highlighting research on the theoretical and systematic framework for analyzing, testing and designing intelligent data analysis models for evolving communication frameworks. Further, the book showcases the latest developments in wireless sensor networks, cloud computing, mobile network, autonomous systems, cryptography, automation, and other communication and networking technologies. In addition, it addresses data security, privacy and trust, wireless networks, data classification, data prediction, performance analysis, data validation and verification models, machine learning, sentiment analysis, and various data analysis techniques.
Download or read book Variable Response Model of the Demand for Electricity by Time of Day written by Lee A. Lillard and published by . This book was released on 1983 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Download or read book Using Whole Building Electric Load Data in Continuous Or Retro Commissioning written by and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Whole-building electric load data can often reveal problems with building equipment or operations. In this paper, we present methods for analyzing 15-minute-interval electric load data. These methods allow building operators, energy managers, and commissioning agents to better understand a building's electricity consumption over time and to compare it to other buildings, helping them to 'ask the right questions' to discover opportunities for electricity waste elimination, energy efficiency, peak load management, and demand response. For example: Does the building use too much energy at night, or on hot days, or in the early evening? Knowing the answer to questions like these can help with retro-commissioning or continuous commissioning. The methods discussed here can also be used to assess how building energy performance varies with time. Comparing electric load before and after fixing equipment or changing operations can help verify that the fixes have the intended effect on energy consumption. Analysis methods discussed in this paper include: ways to graphically represent electric load data; the definition of various parameters that characterize facility electricity loads; and a regression-based electricity load model that accounts for both time of week and outdoor air temperature. The methods are illustrated by applying them to data from commercial buildings. We demonstrate the ability to recognize changes in building operation, and to quantify changes in energy performance. Some key findings are: 1) Plotting time series electric load data is useful for understanding electricity consumption patterns and changes to those patterns, but results may be misleading if data from different time intervals are not weather-normalized. 2) Parameter plots can highlight key features of electric load data and may be easier to interpret than plots of time series data themselves. 3) A time-of-week indicator variable (as compared to time-of-day and day-of-week indicator variables) improves the accuracy of regression models of electric load. 4) A piecewise linear and continuous outdoor air temperature dependence can be derived without the use of a change-point model (which would add complexity to the modeling algorithm) or assumptions about when structural changes occur (which could introduce inaccuracy). 5) A model that includes time-of-week and temperature dependence can be used for weather normalization and can determine whether the building is unusually temperature-sensitive, which can indicate problems with HVAC operation.
Download or read book A Continuous Time Model of Electricity Consumption which Incorporates Time of Day Pricing a Demand Charge and Other Commodities written by A. Ronald Gallant and published by . This book was released on 1980 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sparse Modeling written by Irina Rish and published by CRC Press. This book was released on 2014-12-01 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing. Sparse Modeling: Theory, Algorithms, and Applications provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The book gets you up to speed on the latest sparsity-related developments and will motivate you to continue learning about the field. The authors first present motivating examples and a high-level survey of key recent developments in sparse modeling. The book then describes optimization problems involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for finding sparse solutions. The authors go on to address a variety of sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. They also examine a particular class of sparse graphical models and cover dictionary learning and sparse matrix factorizations.
Download or read book Stochastic Modelling of Electricity and Related Markets written by Fred Espen Benth and published by World Scientific. This book was released on 2008 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
