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Robust regression for electricity demand forecasting against cyberattacks
VandenHeuvel, Daniel; Wu, Jinran; Wang, You-Gan - In: International journal of forecasting 39 (2023) 4, pp. 1573-1592
Persistent link: https://www.econbiz.de/10014465333
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Wild bootstrap for fuzzy regression discontinuity designs : obtaining robust bias-corrected confidence intervals
He, Yang; Bartalotti, Otávio - 2019
Persistent link: https://www.econbiz.de/10012062672
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Multiple linear regression model applied to the projection of electricity demand in Colombia
Garcia-Guiliany, Jesús; De-la-hoz-Franco, Emiro; … - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 1, pp. 419-422
Persistent link: https://www.econbiz.de/10012436102
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Determinants of residential electricity demand : evidence from Japan
Otsuka, Akihiro; Haruna, Shoji - In: International journal of energy sector management : IJESM 10 (2016) 4, pp. 546-560
Persistent link: https://www.econbiz.de/10011639021
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Forecasting residential electric power consumption for Bogotá Colombia using regression models
Peña-Guzmán, Carlos; Rey, Juliana - In: Energy reports 6 (2020) 1, pp. 561-566
This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm...
Persistent link: https://www.econbiz.de/10012177360
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The electricity consumption and economic growth nexus in China : a bootstrap seemingly unrelated regression estimator approach
Wang, Jianlin; Zhao, Jiajia; Li, Hongzhou - In: Computational economics 52 (2018) 4, pp. 1195-1211
Persistent link: https://www.econbiz.de/10012053341
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Disentangling temporal patterns in elasticities : a functional coefficient panel analysis of electricity demand
Chang, Yoosoon; Choi, Yongok; Kim, Chang Sik; Miller, … - In: Energy economics 60 (2016), pp. 232-243
Persistent link: https://www.econbiz.de/10011699895
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An Application of Structural Time Series Method in Estimating Household Electricity Demand in Iran
Gharavi, Mahdi - 2016
The aim of this paper is analyzing the effective factors on household electricity demand in Iran. For do it, we have … elasticity of demand to price of electricity is -0.13 that it shows that the electricity is an essential commodity for household … sector in Iran …
Persistent link: https://www.econbiz.de/10012992274
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Robust small area estimation under spatial non-stationarity for unit-level models : theory and empirical results
Baldermann, Claudia - 2017
Persistent link: https://www.econbiz.de/10012240024
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An algorithm for robust regression
Magee, Lonnie - 1991
Persistent link: https://www.econbiz.de/10000953010