Title :
Evaluation and monitring of energy consumption patterns using statistical modeling and simulation
Author :
Khalid, Qasim ; Langhe, Roland
Abstract :
Regression models have been defined with the help of case studies, carried out for residential and commercial buildings in Sweden, for energy consumption patterns and predictions. Regression models are used as an input to Monte Carlo simulation technique to carry out energy predictions and future energy demand and supply patterns. Model is developed on the basis of historical data for four years: 2006 to 2009. Aim is to analyze the regression models for long term forecasting of monthly energy consumption patterns. The predicted models can assist the companies for making decisions of energy demand/supply plans.
Keywords :
Monte Carlo methods; decision making; load forecasting; power system planning; regression analysis; supply and demand; Monte Carlo simulation; decision making; energy consumption pattern monitoring; energy demand-supply planning; monthly energy consumption forecasting; statistical regression modeling; Buildings; Energy consumption; Monte Carlo methods; Power demand; Predictive models; Sensitivity; Temperature sensors; Energy consumption patterns; Modeling and Simulation; Non-linear regression; Regression models;
Conference_Titel :
Emerging Technologies (ICET), 2010 6th International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-8057-9
DOI :
10.1109/ICET.2010.5638367
