IEEE Power & Energy - Spanish - May/June 2018 - 28

la predicción probabilística de Dinamarca occidental, en un
día determinado del pasado. puesto que se basan en métodos
relacionados, la información probabilística general que se
muestra en los Gráficos 8 y 9 tiene semejanzas, especialmente en términos de tendencias y niveles de incertidumbre.
sin embargo, las predicciones de conjunto en el Gráfico 9
proporcionan información adicional en términos de dependencias entre plazos, que no es transmitida por los gráficos
de abanico "ríos de sangre".

Observaciones finales
en este artículo, ofrecimos algunos ejemplos de cómo visualizar el "bid data" energético. aunque estos ejemplos se despliegan a través de la distribución (datos del medidor inteligente), de la transmisión (datos de pmu) y de la generación
(datos de la predicción de energía eólica) y cubre las etapas
tanto pre como post modelado, no procuramos ser exhaustivos. Hay muchos otros diagramas detallados que no presentamos, tales como mapas para la información geoespacial
(p. ej., el crecimiento de carga y la incorporación de vehículos eléctricos). algunas perspectivas se presentan mejor de
forma dinámica mediante el uso de la animación en lugar de
en una página estática, tales como los cambios en la relación
de carga y temperatura con el paso del tiempo y cambios en
el comportamiento del cliente debido a la incorporación de
programas de respuesta a la demanda. esperamos que este
artículo pueda inspirar a más investigadores y profesionales
a crear diagramas efectivos a partir de datos de energía.

Lecturas complementarias
m. Belkin y p. niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," (mapas de eigen
Laplaciano para la reducción de dimensiones y la representación de datos) Neural Comput., vol. 15, n.º 6, pág. 13731396, 2003.
r. J. Hyndman y Y. Fan, "sample quantiles in statistical
packages," (cuantiles de muestra en paquetes estadísticos)
Amer. Statist., vol. 50, n.º 4, pág. 361-365, 1996.

28

ieee power & energy magazine

X. Liu, D. Laverty, r. Best, K. Li, D. J. morrow, y s.
mcLoone, "principal component analysis of wide area
phasor measurements for islanding detection: a geometric
view," (análisis del componente principal de las mediciones
de fasores en áreas extensas para la detección del modo isla:
una visión geométrica) IEEE Trans. Power Delivery, vol.
30, n.º 2, pág. 976-985, 2015.
X. Liu, J. Kennedy, D. Laverty, D. morrow, y s. mcLoone, "Wide area phase angle measurements for islanding
detection: an adaptive nonlinear approach," (mediciones
angulares de fases en áreas extensas para la detección del
modo isla: un enfoque no lineal adaptable) IEEE Trans.
Power Delivery, vol. 31, n.º 4, pág. 1901-1911, 2016.
J. m. morales, a. conejo, H. madsen, p. pinson, y m.
zugno, Integrating Renewable in Electricity Markets: Operational Problems. Series in Operational Research & Management Science. nueva York: springer verlag, 2014.
r. Bessa, c. möhrlen, v. Fundel, m. siefert, J. Browell,
s. H. el Gaidi, B.-m. Hodge, u. cali, y G. Kariniotakis,
"towards improved understanding of the applicability of
uncertainty forecasts in the electric power industry," (Hacia
una mejor comprensión de la aplicabilidad de predicciones
de incertidumbre en la industria de la potencia eléctrica)
Energies, vol. 10, n.º 9, artículo n.º 1402, 2017.

Biografías
Robo J. Hyndman pertenece a la escuela de negocio de
monash, australia.
Xueqin (Amy) Liu pertenece a Queen's university Belfast, reino unido.
Pierre Pinson pertenece a la universidad técnica de Dinamarca, Dinamarca.

p&e

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Table of Contents for the Digital Edition of IEEE Power & Energy - Spanish - May/June 2018

Contenidos
IEEE Power & Energy - Spanish - May/June 2018 - Cover1
IEEE Power & Energy - Spanish - May/June 2018 - Cover2
IEEE Power & Energy - Spanish - May/June 2018 - Contenidos
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IEEE Power & Energy - Spanish - May/June 2018 - Cover3
IEEE Power & Energy - Spanish - May/June 2018 - Cover4
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