Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yoseba K. Penya"'
Publikováno v:
Energies, Vol 6, Iss 4, Pp 2110-2129 (2013)
Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its
Externí odkaz:
https://doaj.org/article/a59301c4d7e243299cbd002191cbe16f
Autor:
Mariano Ortega, Aitor Peña, Cruz E. Borges, Angelina Espinoza, Yoseba K. Penya, Juan Carlos Nieves
Publikováno v:
Energies, Vol 5, Iss 11, Pp 4824-4843 (2012)
The smart grid revolution demands a huge effort in redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies or the electric vehicle. This novel situation will cause
Externí odkaz:
https://doaj.org/article/821e68a010d64360bb721733c2134e82
Publikováno v:
Engineering Applications of Artificial Intelligence. 26:1841-1853
The smart grid vision demands both syntactic interoperability in order to physically be able to interchange data and semantic interoperability to properly understand and interpret its meaning. The IEC and the EPRI have backed to this end the harmoniz
Publikováno v:
IEEE Transactions on Industrial Informatics. 9:1570-1577
We present here a combined aggregative short-term load forecasting method for smart grids, a novel methodology that allows us to obtain a global prognosis by summing up the forecasts on the compounding individual loads. More accurately, we detail her
Autor:
Angelina Espinoza, Juan Carlos Nieves, Lopez Rodriguez Daniel, Mariano Ortega, Aitor Pena, Yoseba K. Penya
Publikováno v:
IEEE Transactions on Industrial Informatics. 9:1384-1397
This paper presents an application of business intelligence (BI) for electricity management systems in the context of the Smart Grid domain. Combining semantic Web technologies (SWT) and elements of grid computing (GC), we have designed a distributed
Publikováno v:
Energies; Volume 6; Issue 4; Pages: 2110-2129
Energies, Vol 6, Iss 4, Pp 2110-2129 (2013)
Energies, Vol 6, Iss 4, Pp 2110-2129 (2013)
Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its
Autor:
Angelina Espinoza, Aitor Pena, Juan Carlos Nieves, Cruz E. Borges, Mariano Ortega, Yoseba K. Penya
Publikováno v:
Energies; Volume 5; Issue 11; Pages: 4824-4843
Energies, Vol 5, Iss 11, Pp 4824-4843 (2012)
Energies, Vol 5, Iss 11, Pp 4824-4843 (2012)
The smart grid revolution demands a huge effort in redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies or the electric vehicle. This novel situation will cause
Publikováno v:
EURASIP Journal on Embedded Systems, Vol 2011 (2011)
Automation systems strongly depend on the amount, quality, and richness of their sensor information. For decades, scientists have investigated towardsmore accurate and cheaper sensors as well as new sensors for previously undetectable properties or s
Autor:
Yoseba K. Penya
Publikováno v:
IFAC Proceedings Volumes. 36:73-77
Artificial intelligence has devised solutions for scheduling problems that haven't been already applied to building-automation specific issues and could be beneficial. This paper presents one of these methods, a parallel-genetic algorithm for the opt
Publikováno v:
Scopus-Elsevier
Mass-customized production systems are challenging in that they intend to provide custom-specific products at the price of conventional mass production. Since this also includes small production volumes, the manufacturing systems must achieve flexibi