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- W2771997029 abstract "The technological revolution in the electric power system sector is producing large volumes of data with pertinent impact in the business and functional processes of system operators, generation companies, and grid users. Big data techniques can be applied to state estimation, forecasting, and control problems, as well as to support the participation of market agents in the electricity market. This chapter presents a revision of the application of data mining techniques to these problems. Trends like feature extraction/reduction and distributed learning are identified and discussed. The knowledge extracted from power system and market data has a significant impact in key performance indicators, like operational efficiency (e.g., operating expenses), investment deferral, and quality of supply. Furthermore, business models related to big data processing and mining are emerging and boosting new energy services." @default.
- W2771997029 created "2017-12-22" @default.
- W2771997029 creator A5064161123 @default.
- W2771997029 date "2018-01-01" @default.
- W2771997029 modified "2023-09-24" @default.
- W2771997029 title "Future Trends for Big Data Application in Power Systems" @default.
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- W2771997029 doi "https://doi.org/10.1016/b978-0-12-811968-6.00010-3" @default.
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