Electricity Customer Clustering Following Experts’ Principle for Demand Response Applications

Electricity Customer Clustering Following Experts’ Principle for Demand Response Applications

The clustering of electricity customers might have an effective meaning if, and only if, it is verified by domain experts. Most of the previous studies on customer clustering, however, do not consider real applications, but only the structure of clusters. Therefore, there is no guarantee that the clustering results are applicable to real domains. In other words, the results might not coincide w...

New Demand Response Framework and Its Applications for Electricity Markets

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Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral contracts. Demand response (DR) refers to participation by customers in electricity markets, seeing and responding to prices as they change over time. Customers may adopt several basic ...

Optimizing Customer Selection for Sustainable Demand Response

Demand Response (DR) is a widely used technique to minimize the peak to average consumption ratio during high demands. An effective DR scheduling algorithm should minimize the curtailment error the difference between the targeted and achieved curtailment values to minimize the costs to the utility provider and maintain system reliability. Several polynomial time heuristics have been proposed in...

Forecasting Electricity Demand Using Non-linear Mixture of Experts