Predicting winning and losing businesses when changing electricity tariffs
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Hayashi, Yukinari & Yoshihara, Naoki & Okushima, Shinichiro & Yamada, Akira, 2011. "Moral Motivation in Public Economic Activities," Economic Review, Hitotsubashi University, vol. 62(1), pages 1-19, January.
- Thorsnes, Paul & Williams, John & Lawson, Rob, 2012. "Consumer responses to time varying prices for electricity," Energy Policy, Elsevier, vol. 49(C), pages 552-561.
- Hartmann, Patrick & Apaolaza Ibanez, Vanessa, 2007. "Managing customer loyalty in liberalized residential energy markets: The impact of energy branding," Energy Policy, Elsevier, vol. 35(4), pages 2661-2672, April.
- Severin Borenstein, 2007. "Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 131-150.
- Bartusch, Cajsa & Alvehag, Karin, 2014. "Further exploring the potential of residential demand response programs in electricity distribution," Applied Energy, Elsevier, vol. 125(C), pages 39-59.
- Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
- James Mixon, 2010. "GRETL: an econometrics package for teaching and research," Managerial Finance, Emerald Group Publishing, vol. 36(1), pages 71-81, February.
- Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
- Hartway, Rob & Price, Snuller & Woo, C.K, 1999. "Smart meter, customer choice and profitable time-of-use rate option," Energy, Elsevier, vol. 24(10), pages 895-903.
- Christmann, Andreas & Steinwart, Ingo & Hubert, Mia, 2007. "Robust learning from bites for data mining," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 347-361, September.
- Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- repec:gam:jeners:v:10:y:2017:i:6:p:778-:d:100587 is not listed on IDEAS
- Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, Open Access Journal, vol. 8(12), pages 1-19, December.
- repec:gam:jeners:v:8:y:2015:i:12:p:13590-13608:d:59719 is not listed on IDEAS
More about this item
KeywordsEnergy; Tariff switching; Classification; Neural Networks; Support Vector Machines; Regression models;
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:133:y:2014:i:c:p:298-307. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.