Solar Forecasting: Methods, Challenges, and Performance

Aidan Tuohy; John Zack; Sue Ellen Haupt; Justin Sharp; Mark Ahlstrom; Skip Dise; Eric Grimit; Corinna Mohrlen; Matthias Lange; Mayte Garcia Casado; Jon Black; Melinda Marquis; Craig Collier

doi:10.1109/MPE.2015.2461351

Solar Forecasting: Methods, Challenges, and Performance

Aidan Tuohy, John Zack, Sue Ellen Haupt, Justin Sharp, Mark Ahlstrom, Skip Dise, Eric Grimit, Corinna Mohrlen, Matthias Lange, Mayte Garcia Casado, Jon Black, Melinda Marquis, Craig Collier

Research Applications Lab

Research output: Contribution to journal › Article › peer-review

183 Scopus citations

Abstract

The deployment of solar-based electricity generation, especially in the form of photovoltaics (PVs), has increased markedly in recent years due to a wide range of factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, a number of challenges remain for reliable, efficient integration of solar energy. Chief among them will be developing new tools and practices that manage the variability and uncertainty of solar power.

Original language	English
Article number	7299804
Pages (from-to)	50-59
Number of pages	10
Journal	IEEE Power and Energy Magazine
Volume	13
Issue number	6
DOIs	https://doi.org/10.1109/MPE.2015.2461351
State	Published - Nov 1 2015

Keywords

Photovoltaics
Predictive models
Real-time systems
Satellites
Solar energy
Wind forecasting
Wind power generation
Wind speed

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10.1109/MPE.2015.2461351

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title = "Solar Forecasting: Methods, Challenges, and Performance",

abstract = "The deployment of solar-based electricity generation, especially in the form of photovoltaics (PVs), has increased markedly in recent years due to a wide range of factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, a number of challenges remain for reliable, efficient integration of solar energy. Chief among them will be developing new tools and practices that manage the variability and uncertainty of solar power.",

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AU - Tuohy, Aidan

AU - Zack, John

AU - Haupt, Sue Ellen

AU - Sharp, Justin

AU - Ahlstrom, Mark

AU - Dise, Skip

AU - Grimit, Eric

AU - Mohrlen, Corinna

AU - Lange, Matthias

AU - Casado, Mayte Garcia

AU - Black, Jon

AU - Marquis, Melinda

AU - Collier, Craig

PY - 2015/11/1

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N2 - The deployment of solar-based electricity generation, especially in the form of photovoltaics (PVs), has increased markedly in recent years due to a wide range of factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, a number of challenges remain for reliable, efficient integration of solar energy. Chief among them will be developing new tools and practices that manage the variability and uncertainty of solar power.

AB - The deployment of solar-based electricity generation, especially in the form of photovoltaics (PVs), has increased markedly in recent years due to a wide range of factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, a number of challenges remain for reliable, efficient integration of solar energy. Chief among them will be developing new tools and practices that manage the variability and uncertainty of solar power.

KW - Photovoltaics

KW - Predictive models

KW - Real-time systems

KW - Satellites

KW - Solar energy

KW - Wind forecasting

KW - Wind power generation

KW - Wind speed

UR - https://www.scopus.com/pages/publications/84958254280

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DO - 10.1109/MPE.2015.2461351

M3 - Article

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JO - IEEE Power and Energy Magazine

JF - IEEE Power and Energy Magazine

IS - 6

M1 - 7299804

ER -

Solar Forecasting: Methods, Challenges, and Performance

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Keywords

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