Time of Use pricing - India, a case study

Shaikh, Saba Kauser M.; Dharme, Anjali A.

doi:10.1109/icpws.2009.5442760

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…He further notes that demand curves are steep, and shift, depending on the time of day or day of week. Shaikh and Dharme (2009) explain the seasonal variation of the load curve with TOU tariffs in the Indian context. Kirschen et al (2000) study the short-term price response in the electricity market of England and Wales.…”

Section: Elasticity Of Electricity Demandmentioning

confidence: 99%

A literature review on dynamic pricing of electricity

Dutta

Mitra

2017

Journal of the Operational Research Society

223

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Revenue management and dynamic pricing are concepts that have immense possibilities for application in the energy sector. Both can be considered as demand-side management tools that can facilitate the offering of different prices at different demand levels. This paper studies literature on various topics related to the dynamic pricing of electricity and lists future research avenues in pricing policies, consumers' willingness to pay and market segmentation in this field. Demand and price forecasting play an important role in determining prices and scheduling load in dynamic pricing environments. This allows different forms of dynamic pricing policies to different markets and customers depending on customers' willingness to pay. Consumers' willingness to pay for electricity services is also necessary in setting price limits depending on the demand and demand response curve. Market segmentation can enhance the effects of such pricing schemes. Appropriate scheduling of electrical load enhances the consumer response to dynamic tariffs.

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Section: Elasticity Of Electricity Demandmentioning

confidence: 99%

A literature review on dynamic pricing of electricity

Dutta

Mitra

2017

Journal of the Operational Research Society

223

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“…Thus, in a year period of time, there are 16 different energy tariff prices, which associated with the quarterly and the time-of-use period. [4], they have concluded that an extensive study and theoretical framework is needed by taking consideration on load demand under different seasons, load profile and new proposed time of use tariff. In their case, they took the public water works as a case, analysed and found out that if the load can be altered such that the maximum demand is reduce, than the cost occurred can be reduced.…”

Section: Time Of Use (Tou) Electricity Pricingmentioning

confidence: 98%

“…Time-of-Use (TOU) program have already been implemented throughout the world with different approach and mechanism [1][2][3][4][5][6]. Nevertheless they share the same ultimate goal of to stabilize the generation rate to meet up with the ever increasing consumer demand.…”

Section: Introductionmentioning

confidence: 99%

Time of Use pricing for residential customers case of Malaysia

Muzmar

Abdullah

Hassan

et al. 2015

2015 IEEE Student Conference on Research and Development (SCOReD)

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Time-of-Use (TOU) pricing is a rate of prices depending on time period, which having high electricity tariff at peak demand period and lower tariff at off-peak period. In Malaysia, a flat tariff is applied on residential customer disregard the time of use. Simple TOU pricing is applied on industrial and commercial customers where they pay lower tariff for the electricity used during night time and higher tariff for daytime usage. This to encourage the customer to shifts their electricity usage from peak demand period (daytime) into low demand period (night time). The same TOU pricing cannot be implemented to residential customers since their load is already low during daytime but high during night time (8pm-12pm). This paper studies the TOU prices required for residential customers to make a significant impact on peak demand reduction. Practical load profile data from Malaysian residential and commercial customers are used as a case study. The result shows a significant price difference between the peak and off-peak hours are required to ensure the effectiveness of such pricing.

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Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India—Case Study

Talhar¹,

Bodkhe²

2020

Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

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Time of Use pricing - India, a case study

Cited by 8 publications

References 18 publications

A literature review on dynamic pricing of electricity

A literature review on dynamic pricing of electricity

Time of Use pricing for residential customers case of Malaysia

Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India—Case Study

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