Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

Brian Hodge

Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

Research output: Contribution to conference › Paper

Abstract

In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.

Original language	American English
Number of pages	8
State	Published - 2012
Event	12th International Conference on Probabilistic, Methods Applied to Power Systems - Istanbul, Turkey Duration: 10 Jun 2012 → 14 Jun 2012

Conference

Conference	12th International Conference on Probabilistic, Methods Applied to Power Systems
City	Istanbul, Turkey
Period	10/06/12 → 14/06/12

NREL Publication Number

NREL/CP-5500-53515

Keywords

power engineering and energy
power generation
stochastic systems
wind power generation

Access to Document

https://www.nrel.gov/docs/fy12osti/53515.pdf

Cite this

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title = "Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint",

abstract = "In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.",

keywords = "power engineering and energy, power generation, stochastic systems, wind power generation",

author = "Brian Hodge",

year = "2012",

language = "American English",

note = "12th International Conference on Probabilistic, Methods Applied to Power Systems ; Conference date: 10-06-2012 Through 14-06-2012",

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T1 - Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

AU - Hodge, Brian

PY - 2012

Y1 - 2012

N2 - In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.

AB - In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.

KW - power engineering and energy

KW - power generation

KW - stochastic systems

KW - wind power generation

M3 - Paper

T2 - 12th International Conference on Probabilistic, Methods Applied to Power Systems

Y2 - 10 June 2012 through 14 June 2012

ER -

Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

Abstract

Conference

NREL Publication Number

Keywords

Access to Document

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Cite this