Disaggregate Energy Consumption Data
DOWNLOAD
Download Disaggregate Energy Consumption Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Disaggregate Energy Consumption Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Disaggregate Energy Consumption Data
DOWNLOAD
Author : Jackalie L. Blue
language : en
Publisher:
Release Date : 1981
Disaggregate Energy Consumption Data written by Jackalie L. Blue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Energy conservation categories.
Disaggregate Energy Consumption Data
DOWNLOAD
Author : Jackalie L. Blue
language : en
Publisher:
Release Date : 1981
Disaggregate Energy Consumption Data written by Jackalie L. Blue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Energy conservation categories.
Residential Energy Consumption Across Housing Vintages
DOWNLOAD
Author : Thanh C. Dang
language : en
Publisher:
Release Date : 2016
Residential Energy Consumption Across Housing Vintages written by Thanh C. Dang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Using econometric modeling, this study examines a cross-section of disaggregate data collected through the Residential Appliance Saturation Survey for over 10,000 California single-family households and produces a set of estimates for variations in electricity and natural gas consumption for houses built at different times.
Disaggregation Of Residential Home Energy Via Non Intrusive Load Monitoring For Energy Savings And Targeted Demand Response
DOWNLOAD
Author : Jeremy B. Hare
language : en
Publisher:
Release Date : 2018
Disaggregation Of Residential Home Energy Via Non Intrusive Load Monitoring For Energy Savings And Targeted Demand Response written by Jeremy B. Hare and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Residential energy disaggregation is a process by which the power usage of a home is broken down into the consumption of individual appliances. There are a number of different methods to perform energy disaggregation, from simulation models to installing "smart-plugs" at every outlet where an appliance is connected to the wall. Non-Intrusive Load Monitoring (NILM) is one such disaggregation option. NILM is widely recognized as one of the most cost-effective methods for gathering disaggregated energy data while maintaining a high level of accuracy. Although the technology has existed for many years, the adoption rate of NILM, and other devices that disaggregate energy, has been minimal. This thesis provides details on the potential benefits, both for the customer and utility provider, associated with furthering the adoption of NILM devices and obtaining the disaggregated appliance level energy-use. A broad overview of potential benefits is presented; however, the primary goal of this thesis will be to investigate two benefits of NILM in detail: overall household energy reduction and targeted demand response. First, installation of a NILM device can provide electricity customers information that allows them to become more aware of their energy consumption, and thereby, more energy efficient. A study was conducted that looked at the electricity consumption of 174 homes that were using a passive NILM device in their home. This NILM device provided immediate feedback on the power consumption for a portion of the home's appliances via smart-phone application. The homes reduced their monthly energy consumption by an average of 2.6 - 3.1% after the NILM installation. This was validated by a number of analysis methods returning similar results. Aligned with this benefit comes a recommendation for an incentive structure that can reduce the price paid by the consumer and develop a higher adoption rate of NILM devices. Second, the wide-spread adoption of NILM devices can provide electric utilities information to reduce carbon intensity via targeted demand response. There is a significant opportunity for utilities to engage their customers based on the time of use of detailed appliances. Multiple metrics are presented in this thesis to quantify the deferrable load opportunity of specific appliances and individual households. Utility operational cost savings and greater customer incentives can be linked to the use of these metrics.
Disaggregate Data On Energy Use In Residential And Commercial Buildings
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1981
Disaggregate Data On Energy Use In Residential And Commercial Buildings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Energy consumption categories.
Disaggregating Time Series Data For Energy Consumption By Aggregate And Individual Customer
DOWNLOAD
Author : Steven Vitullo
language : en
Publisher:
Release Date : 2010
Disaggregating Time Series Data For Energy Consumption By Aggregate And Individual Customer written by Steven Vitullo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Linear programming categories.
This dissertation generalizes the problem of disaggregating time series data and describes the disaggregation problem as a mathematical inverse problem that breaks up aggregated (measured) time series data that is accumulated over an interval and estimates its component parts. We describe five different algorithms for disaggregating time series data: the Naive, Time Series Reconstruction (TSR), Piecewise Linear Optimization (PLO), Time Series Reconstruction with Resampling (RS), and Interpolation (INT). The TSR uses least squares and domain knowledge of underlying correlated variables to generate underlying estimates and handles arbitrarily aggregated time steps and non-uniformly aggregated time steps. The PLO performs an adjustment on underlying estimates so the sum of the underlying estimated data values within an interval are equal to the aggregated data value. The RS repeatedly samples a subset of our data, and the fifth algorithm uses an interpolation to estimate underlying estimated data values. Several methods of combining these algorithms, taken from the forecasting domain, are applied to improve the accuracy of the disaggregated time series data. We evaluate our component and ensemble algorithms in three different applications: disaggregating aggregated (monthly) gas consumption into disaggregated (daily) gas consumption from natural gas regional areas (operating areas), disaggregating United States Gross Domestic Product (GDP) from yearly GDP to quarterly GDP, and forecasting when a truck should fill a customer's heating oil tank. We show our five algorithms successfully used to disaggregate historical natural gas consumption and GDP, and we show combinations of these algorithms can improve further the magnitude and variability of the natural gas consumption or GDP series. We demonstrate that the PLO algorithm is the best of the Naive, TSR, and PLO algorithms when disaggregating GDP series. Finally, ex-post results using the Naive, TSR, PLO, RS, INT, and the ensemble algorithms when applied to forecast heating oil deliveries are shown. Results show the Equal Weight (EW) combination of the Naive, TSR, PLO, RS, and INT algorithms outperforms the forecasting system Company YOU used before approaching the gasdayTM laboratory at Marquette University, and comes close, but does not outperform existing techniques the GasDayTM laboratory has implemented to forecast heating oil deliveries.
Energy Consumption And Gdp Causality
DOWNLOAD
Author : Brant Liddle
language : en
Publisher:
Release Date : 2015
Energy Consumption And Gdp Causality written by Brant Liddle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
This paper disaggregates energy consumption and GDP data according to end-use to analyze a broad number of developed and developing countries grouped in panels by similar characteristics. Panel long-run causality is assessed with a relatively under-utilized approach recommend by Canning and Pedroni (2008). We examine (i) reduced form production function models for both the industry and service/commercial sectors, where aggregate energy consumption is expected to cause aggregate output; and (ii) reduced form demand models, where income is expected to cause (separately) per capita residential energy consumption, per capita residential electricity consumption, and per capita gasoline consumption. We uncover for 12 different panels a set of super-consistent causality findings across three demand models that income “Granger-causes” per capita consumption. By contrast, the results from the production function models suggest that a different modeling framework is required to glean new, useful insights.
The Impact Of Real Time And Disaggregated Energy Consumption Feedback On Residential Gas And Electricity Usage
DOWNLOAD
Author : Mirthe Boomsma
language : en
Publisher:
Release Date : 2023
The Impact Of Real Time And Disaggregated Energy Consumption Feedback On Residential Gas And Electricity Usage written by Mirthe Boomsma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
We implemented a Randomized Controlled Trial to estimate the impact of real-time energy consumption feedback on residential energy use. A random half of the participant households were equipped with an energy consumption monitor that uses smart-meter data to relay information on real-time energy use. The feedback resulted in a 6.9 and 2.2 percent reduction in, respectively, gas and electricity consumption. While we do not detect any appliance-specific changes in the use of electricity, gas savings are the result of especially changes in space heating, as savings are larger on colder days. We probe the underlying mechanisms by means of a survey. We find that the display's main impact is via raising the salience of energy costs, suggesting that the display is effective in helping households to better align their actual energy consumption with their optimal consumption pattern.
Energy Use At Institutional Buildings
DOWNLOAD
Author : Eric Hirst
language : en
Publisher:
Release Date : 1981
Energy Use At Institutional Buildings written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Buildings categories.
Residential Energy Use And Conservation Actions
DOWNLOAD
Author : Eric Hirst
language : en
Publisher:
Release Date : 1981
Residential Energy Use And Conservation Actions written by Eric Hirst and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Dwellings categories.