TY - GEN
T1 - Energy efficiency- the key indicator for energy demand forecasting and management
AU - Nammalam, Laxmi Naresh Rao
AU - Arif, M. T.
AU - Gargoom, A.
AU - Oo, Aman M. T.
PY - 2020
Y1 - 2020
N2 - Energy demand forecasting, which is an integral part of energy management has evolved over the past five decades. Of all the energy and economic indicators, used for energy demand forecasting, energy efficiency has emerged as one of the key indicators for current and future scenarios. Energy efficiency becomes even more significant, as it is forecasted to undergo a significant transition in Australia's National Electricity Market. This paper explores, evaluates and establishes the correlation of energy efficiency with total electricity generated, using Pearson's correlation coefficient and econometric toolbox in MATLAB. The parameters such as correlation coefficient (r) and standard error (t-stat) value from the regression analysis are found to be dynamic. The outcome shows that the correlation is transitioning from being strongly negative to strongly positive, indicating a rebound effect of energy efficiency and a correspondingly significant impact on energy management. This could mean potential disruption in the balance of nexus between energy-emissions-economy and thus, energy policymakers can use these results to formulate effective frameworks for accomplishing their ultimate goals of energy security, sustainability and climate change as a whole.
AB - Energy demand forecasting, which is an integral part of energy management has evolved over the past five decades. Of all the energy and economic indicators, used for energy demand forecasting, energy efficiency has emerged as one of the key indicators for current and future scenarios. Energy efficiency becomes even more significant, as it is forecasted to undergo a significant transition in Australia's National Electricity Market. This paper explores, evaluates and establishes the correlation of energy efficiency with total electricity generated, using Pearson's correlation coefficient and econometric toolbox in MATLAB. The parameters such as correlation coefficient (r) and standard error (t-stat) value from the regression analysis are found to be dynamic. The outcome shows that the correlation is transitioning from being strongly negative to strongly positive, indicating a rebound effect of energy efficiency and a correspondingly significant impact on energy management. This could mean potential disruption in the balance of nexus between energy-emissions-economy and thus, energy policymakers can use these results to formulate effective frameworks for accomplishing their ultimate goals of energy security, sustainability and climate change as a whole.
KW - Energy efficiency
KW - Energy demand forecasting
KW - Energy generation
KW - Correlation coefficient
UR - http://www.scopus.com/inward/record.url?scp=85101716239&partnerID=8YFLogxK
M3 - Conference proceeding contribution
AN - SCOPUS:85101716239
SN - 9781665425407
BT - 2020 Australasian Universities Power Engineering Conference (AUPEC)
A2 - Negnevitsky, Michael
PB - University of Tasmania
CY - Tasmania, Australia
T2 - 2020 Australasian Universities Power Engineering Conference, AUPEC 2020
Y2 - 29 November 2020 through 3 December 2020
ER -