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    Researchers in EAEI focus on three broad areas: Energy Markets, Policy, and Infrastructure; Energy and Environmental Systems Analysis; and Appliance and Equipment Standards.

    We develop analytical and experimental methods and tools to assess the technical, economic and market potential of energy technologies, as well as the associated social, economic, health and environmental impacts.

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    EAEI researchers provide unbiased, scientific, high quality and innovative research and technical assistance to government agencies in the United States and throughout the world. We help these entities develop long-term strategies, policies and programs that facilitate energy efficiency and the deployment of clean energy technology with minimum environmental and health impacts in all sectors and industries.

    • Technoeconomic & Life-Cycle Modeling
    • Energy Markets & Policy
    • Renewable Energy
    • Transportation Systems
    • Energy and Environmental Justice
    • Energy Efficiency
    • Environmental Science & Technology
    • Healthy & Efficient Buildings
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Publications

2021

Lazar, Alina, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alex Sim, and Kesheng Wu."Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions."2021 IEEE International Conference on Big Data (Big Data) (2021). DOI

2020

Jin, Ling, Alina Lazar, James Sears, Annika Todd, Alex Sim, Kesheng Wu, Hung-Chia Yang, and C. Anna Spurlock."Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes."IEEE Access (2020) 1-17. DOI

2019

Lazar, Alina, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd."Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization."Journal of Data and Information Quality 11.2 (2019) 1 - 22. DOI

2017

Lazar, Alina, Ling Jin, C. Anna Spurlock, Annika Todd, Kesheng Wu, and Alex Sim."Data quality challenges with missing values and mixed types in joint sequence analysis."2017 IEEE International Conference on Big Data (Big Data)2017 IEEE International Conference on Big Data (Big Data) (2017). DOI

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