IEEE Power & Energy - Spanish - May/June 2018 - 17

de electricidad, la generación renovable
y las interrupciones del sistema de distri-
bución. en "datos meteorológicos para
el análisis de energía", el cuarto artículo,
Black y otros demuestran usos novedo-
sos de los datos meteorológicos para el
análisis de energía mediante dos aplica-
ciones de servicios públicos. la primera
se refiere a la interrupción en la distribu-
ción y el modelado de índices de confia-
bilidad, donde los autores usan algunos
datos meteorológicos de fácil acceso re-
copilados de la estación meteorológica
en un aeropuerto local para desarrollar
una visión probabilística de la tenden-
cia de confiabilidad en la distribución.
la segunda aplicación simula conjun-
tos fotovoltaicos particulares, donde
se usan datos meteorológicos de tipo co-
mercial de alta resolución para desarro-
llar simulaciones realistas.
China, uno de los países más gran-
des y con más rápido crecimiento en el
mundo, está acelerando la implemen-
tación de una estrategia de "big data".

Mientras que muchos sectores comer-
ciales han puesto en marcha un análisis
de "big data", la industria de la energía
es una de las favoritas. las agencias del
gobierno chino y el sector privado han
destinado una cantidad significativa de
financiamiento para apoyar la investi-
gación y el desarrollo del análisis de
"big data" para la industria de la energía.
en el quinto artículo, "Análisis de
"big data" en la industria de la energía
eléctrica de China", Kang y otros
presentan varios proyectos notables
de análisis de "big data" que abarcan
diversas aplicaciones, como la respues-
ta a la demanda, la simulación de la
generación de potencia renovable, el
análisis de estabilidad de los sistemas
de potencia y el monitoreo de la situa-
ción de los activos. Al final, los autores
analizan tres desafíos, que incluyen
la fusión y seguridad de los datos, la
desregularización de la industria de la
energía y un alto intercambio de inte-
gración de las energías renovables.

la industria de la energía en los ee.
UU. ha estado luchando contra la crisis
de fuerza laboral desde principios de la
década de 2000. Hoy en día, la necesi-
dad de un análisis de "big data" crea una
demanda creciente de científicos de da-
tos de energía, generando una carencia
significativa de personal idóneo en aná-
lisis de datos. Como consecuencia, los
programas de energía de los estados
Unidos están enfrentando el desafío de
reducir la brecha con recursos limita-
dos. Hong y otros, en el sexto artículo,
"Formación de científicos de datos de
energía", presentan las dificultades que
enfrenta la industria de la energía al
competir con otras industrias por perso-
nal idóneo en análisis. los autores pre-
sentan diversas perspectivas de agencias
gubernamentales, organizaciones indus-
triales e instituciones académicas. Pro-
ponen varias ideas para revisar el plan de
estudios tradicional de la ingeniería de
potencia para formar la próxima genera-
ción de científicos de datos de energía.

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

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