Demand Forecasting in the Smart Grid Paradigm: Features and Challenges

Hongyu Wu; Mohammad Khodayar

doi:10.1016/j.tej.2015.06.001

Demand Forecasting in the Smart Grid Paradigm: Features and Challenges

Hongyu Wu
, Mohammad Khodayar

Power Systems Engineering

Illinois Institute of Technology

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

41 Scopus Citations

Abstract

Demand forecasting faces challenges that include a large volume of data, increasing number of factors that affect the demand profile, uncertainties in the generation profile of the distributed and renewable generation resources and lack of historical data. A hierarchical demand forecasting framework can incorporate the new technologies, customer behaviors and preferences, and environmental factors.

Original language	American English
Pages (from-to)	51-62
Number of pages	12
Journal	Electricity Journal
Volume	28
Issue number	6
DOIs	https://doi.org/10.1016/j.tej.2015.06.001
State	Published - 2015

NLR Publication Number

NREL/JA-5D00-64946

Keywords

demand forecasting
smart grids

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10.1016/j.tej.2015.06.001

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abstract = "Demand forecasting faces challenges that include a large volume of data, increasing number of factors that affect the demand profile, uncertainties in the generation profile of the distributed and renewable generation resources and lack of historical data. A hierarchical demand forecasting framework can incorporate the new technologies, customer behaviors and preferences, and environmental factors.",

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AB - Demand forecasting faces challenges that include a large volume of data, increasing number of factors that affect the demand profile, uncertainties in the generation profile of the distributed and renewable generation resources and lack of historical data. A hierarchical demand forecasting framework can incorporate the new technologies, customer behaviors and preferences, and environmental factors.

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KW - smart grids

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DO - 10.1016/j.tej.2015.06.001

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Demand Forecasting in the Smart Grid Paradigm: Features and Challenges

Abstract

NLR Publication Number

Keywords

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Cite this