Dynamic pricing with automation and option to sell in-house-generated renewable energy to the grid attract consumers to the future retail electricity market. Real-time pricing of electricity in the Indian context has not been relevant so far because the pricing in Indian urban retail electricity market is mostly restricted to block-rate pricing. This study describes a novel method for segmenting the retail electricity market in a university setup. The experiment was focused on differential pricing, and the data were collected from 173 respondents using a questionnaire. This study prescribes different criteria for classifying a consumer into the specified market segments using cluster analysis and discriminant analysis. The demand–price relationship and price elasticity are studied for each segment. Demand characteristics of four appliances are also discussed. The study found that in some cases, consumers’ willingness to pay is about five times higher than the present average price.

具有自动化功能的动态定价以及向电网出售内部产生的可再生能源的选项，吸引了消费者进入未来的零售电力市场。到目前为止，在印度范围内的电力实时定价一直没有意义，因为在印度城市零售电力市场中的定价主要限于块价定价。这项研究描述了一种在大学环境中细分零售电力市场的新颖方法。该实验着重于差异定价，并使用问卷调查从173名受访者中收集了数据。这项研究规定了使用聚类分析和判别分析将消费者分类为特定市场细分的不同标准。研究每个部分的需求价格关系和价格弹性。还讨论了四种电器的需求特征。研究发现，在某些情况下，消费者的支付意愿大约是当前平均价格的五倍。