This book assesses the impact of daylight saving time (DST) on hourly electricity load using natural experiment for the case of Pakistan. DST was implemented in Pakistan in 2008 and 2009. This unique history of DST implementation has provided a natural experiment to form control and treatment period to identify the impact of DST directly with before and after and with and without analysis, without getting into the seasonal biasness in control period due to reduced electricity demand in fall. To address this potential seasonal biasness, this study employs two different identification techniques, direct approach uses before and after analysis whereas the other ‘‘equivalent day normalization technique’’ make use of with and without analysis and utilizes the block of hours as control period. These two approaches also cross-examine the results of each other. The standard difference-in-difference (DID) average treatment effects model with direct approach suggests a reduction of 2.9 percent in electricity loads due to DST, whereas equivalent day normalization approach indicates 2.3 percent reduction in electricity loads for the case of Pakistan for the time period of 2008 and 2009.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book assesses the impact of daylight saving time (DST) on hourly electricity load using natural experiment for the case of Pakistan. DST was implemented in Pakistan in 2008 and 2009. This unique history of DST implementation has provided a natural experiment to form control and treatment period to identify the impact of DST directly with before and after and with and without analysis, without getting into the seasonal biasness in control period due to reduced electricity demand in fall. To address this potential seasonal biasness, this study employs two different identification techniques, direct approach uses before and after analysis whereas the other ''equivalent day normalization technique'' make use of with and without analysis and utilizes the block of hours as control period. These two approaches also cross-examine the results of each other. The standard difference-in-difference (DID) average treatment effects model with direct approach suggests a reduction of 2.9 percent in electricity loads due to DST, whereas equivalent day normalization approach indicates 2.3 percent reduction in electricity loads for the case of Pakistan for the time period of 2008 and 2009. 84 pp. Englisch. N° de réf. du vendeur 9786206160977
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book assesses the impact of daylight saving time (DST) on hourly electricity load using natural experiment for the case of Pakistan. DST was implemented in Pakistan in 2008 and 2009. This unique history of DST implementation has provided a natural expe. N° de réf. du vendeur 927516060
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book assesses the impact of daylight saving time (DST) on hourly electricity load using natural experiment for the case of Pakistan. DST was implemented in Pakistan in 2008 and 2009. This unique history of DST implementation has provided a natural experiment to form control and treatment period to identify the impact of DST directly with before and after and with and without analysis, without getting into the seasonal biasness in control period due to reduced electricity demand in fall. To address this potential seasonal biasness, this study employs two different identification techniques, direct approach uses before and after analysis whereas the other ''equivalent day normalization technique'' make use of with and without analysis and utilizes the block of hours as control period. These two approaches also cross-examine the results of each other. The standard difference-in-difference (DID) average treatment effects model with direct approach suggests a reduction of 2.9 percent in electricity loads due to DST, whereas equivalent day normalization approach indicates 2.3 percent reduction in electricity loads for the case of Pakistan for the time period of 2008 and 2009.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9786206160977
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book assesses the impact of daylight saving time (DST) on hourly electricity load using natural experiment for the case of Pakistan. DST was implemented in Pakistan in 2008 and 2009. This unique history of DST implementation has provided a natural experiment to form control and treatment period to identify the impact of DST directly with before and after and with and without analysis, without getting into the seasonal biasness in control period due to reduced electricity demand in fall. To address this potential seasonal biasness, this study employs two different identification techniques, direct approach uses before and after analysis whereas the other ''equivalent day normalization technique'' make use of with and without analysis and utilizes the block of hours as control period. These two approaches also cross-examine the results of each other. The standard difference-in-difference (DID) average treatment effects model with direct approach suggests a reduction of 2.9 percent in electricity loads due to DST, whereas equivalent day normalization approach indicates 2.3 percent reduction in electricity loads for the case of Pakistan for the time period of 2008 and 2009. N° de réf. du vendeur 9786206160977
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Taschenbuch. Etat : Neu. Daylight Saving Time and Energy Conservation | Turning Back the Clock on Climate Change: How Daylight-Saving Time Policy Can Help | Khalid Waleed (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206160977 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127229000
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