T
Tao Hong
Researcher at University of North Carolina at Charlotte
Publications - 84
Citations - 7212
Tao Hong is an academic researcher from University of North Carolina at Charlotte. The author has contributed to research in topics: Probabilistic forecasting & Probabilistic logic. The author has an hindex of 32, co-authored 76 publications receiving 5048 citations. Previous affiliations of Tao Hong include Quanta Technology & University of North Carolina at Chapel Hill.
Papers
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Probabilistic electric load forecasting: A tutorial review
TL;DR: The need to invest in additional research, such as reproducible case studies, probabilistic load forecast evaluation and valuation, and a consideration of emerging technologies and energy policies in the probabilism load forecasting process are underlined.
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Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond
TL;DR: This paper introduces the GEFCom2014, a probabilistic energy forecasting competition with four tracks on load, price, wind and solar forecasting, which attracted 581 participants from 61 countries and concludes with 12 predictions for the next decade of energy forecasting.
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Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: An application-oriented review of smart meter data analytics identifies the key application areas as load analysis, load forecasting, and load management and reviews the techniques and methodologies adopted or developed to address each application.
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Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: In this paper, the authors conduct an application-oriented review of smart meter data analytics following the three stages of analytics, namely, descriptive, predictive and prescriptive analytics, identifying the key application areas as load analysis, load forecasting, and load management.
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Global Energy Forecasting Competition 2012
Tao Hong,Pierre Pinson,Shu Fan +2 more
TL;DR: This paper introduces both tracks of GEFCom2012, hierarchical load forecasting and wind power forecasting, with details on the aspects of the problem, the data, and a summary of the methods used by selected top entries.