Using a Local Framework Combining Principal Component Regression and Monte Carlo Simulation for Uncertainty and Sensitivity Analysis of a Domestic Energy Model in Sub-City Areas

Using a Local Framework Combining Principal Component Regression and Monte Carlo Simulation for Uncertainty and Sensitivity Analysis of a Domestic Energy Model in Sub-City Areas

Domestic energy modelling is complex, in terms of user input and the approach used to define the model; therefore, there is an increase in the sources of uncertainties. Previous efforts to perform sensitivity and uncertainty analyses have focused on national energy models, while in this research, th...

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Bibliographic Details
Main Authors: Javier Urquizo, Carlos Calderón, Philip James
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Energies
Subjects:
concept map
cities
Monte Carlo Simulation
neighbourhood urban energy modelling
principal component regression
sensitivity analysis
uncertainty taxonomy
Online Access:https://www.mdpi.com/1996-1073/10/12/1986

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https://www.mdpi.com/1996-1073/10/12/1986

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