Browsing by Issue Date, starting with "2015-08-24"
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- Electricity demand profile prediction based on household characteristicsPublication . Viegas, Ivan; Vieira, Susana M.; Sousa, João M. C.; Melício, R.; Mendes, VictorThis work proposes a methodology for predicting the typical daily load profile of electricity usage based on static data obtained from surveys. The methodology intends to: (1) determine consumer segments based on the metering data using the k-means clustering algorithm, (2) correlate survey data to the segments, and (3) develop statistical and machine learning classification models to predict the demand profile of the consumers. The developed classification models contribute to make the study and planning of demand side management programs easier, provide means for studying the impact of alternative tariff setting methods and generate useful knowledge for policy makers.
- Optimal scheduling of a pumped storage hydro unit in the day-ahead and secondary reserve electricity marketPublication . Lagarto, João; Fernandes, Filipe; Sousa, Jorge A. M.; Santana, João; Martins, BertoAncillary services play a major role in power systems security and stability. The transmission systems operators contract some of these services at minimum cost in competitive markets. This is the case of the secondary reserve market (SRM). Besides the day-ahead market (DAM) generating companies, aiming at maximize their profits, can increase their revenues by selling available capacity in the SRM. This paper presents the solution of a price-taker generating company, owning a pumped-storage hydro (PSH) unit, acting in DAM and SRM. The results were obtained for three case studies: the generating company acts only in the DAM; the generating company acts in both markets with a fixed pumping capacity of the PSH unit; the generating company acts in both markets with a variable pumping capacity of the PSH unit. Results show that higher profits are obtained when acting in both markets with a variable pumping capacity of the PSH unit.