Demand Forecasting in the Smart Grid Paradigm: Features and Challenges

Hongyu Wu, Mohammad Khodayar

Research output: Contribution to journalArticlepeer-review

35 Scopus Citations


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 languageAmerican English
Pages (from-to)51-62
Number of pages12
JournalElectricity Journal
Issue number6
StatePublished - 2015

NREL Publication Number

  • NREL/JA-5D00-64946


  • demand forecasting
  • smart grids


Dive into the research topics of 'Demand Forecasting in the Smart Grid Paradigm: Features and Challenges'. Together they form a unique fingerprint.

Cite this