Due to the importance of hybrid renewable energies for green power plants, strategies are required to make the market competitive and encourage consumers to admit to using such still less available electricity compared to the power generated from fossil fuels. Promotion-based group-buying tariffs are a selling marketing tool that can be adapted for this purpose. Energy producers and consumers can express their preferences regarding hybrid renewable energies through multiple attributes and values in a conditional manner, a lexicographic representation. In this paradigm, “what to buy” and “who else might incline to buy this,” is a challenging issue for a group of consumers to make a single purchase decision. To this end, an HRECS and a PLPSim method are proposed to group consumers having the most similar lexicographic preferences for purchasing the most appropriate supplier tariff. The evaluation results demonstrate that HRECS using PLPSim outperforms the existing PLPDis method regarding Normal Discounted Cumulative Gain (nDCG) as well as intra- and inter-group Davies-Bouldin dispersion.
Keywords Hybrid renewable energy market, Tariff selection, Lexicographic preference, Similarity, Group buying