Real-time electricity pricing mechanisms are emerging as a key component of the smart grid. However, prior work has not fully addressed challenges multi-step prediction (Predicting multiple time steps into future) that is accurate, robust and real-time. This paper proposes novel Artificial Intelligence-based approach, Robust Intelligent Price Prediction in (RIPPR), overcomes these challenges. R...

Real-time pricing is a form of 'dynamic pricing,' and it enables online sellers to adjust prices in real-time response variations demand competition achieve higher revenue or improve customer satisfaction. As modern e-commerce implementations become more cloud-based, this paper proposes cloud-native framework for system. We take requirement driven approach come up with modular architecture set ...

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system p...

The retail market for electric power does not exhibit the usual behavior of supply and demand. Strict regulation on utility companies restrict the prices consumers can be charged. Allowing the companies to vary the price can afford them the opportunity to pass costs along to the consumers and perhaps help avoid catastrophes such as the California electric crisis. In this paper we analyze a syst...