Consortium Leader

The Consortium is managed and its research is led by Dr. Jerry Jackson, an energy economist with more than thirty years' experience in new energy technology market analysis, financial model development, utility program development and project management and utility energy and load forecasting and program assessment. He was previously a professor at Texas A&M University, chief of the Applied Research Division at Georgia Tech Research Institute, an economist at Oak Ridge National Laboratory and the Federal Reserve Bank of Chicago. He is also president of Jackson Associates where he has worked with utilities, state regulatory agencies, equipment manufacturers, research organizations and others in addressing energy industry issues.

Dr. Jackson is an expert on utility energy efficiency, smart grid and other utility program development, having worked closely with utilities to plan, implement and assess programs. His expertise also includes evaluating new energy technologies and their adoption by utility customers. He has assisted leading technology companies including United Technologies, Carrier Corporation, Ingersoll Rand, Toyota, Sharp Laboratories, Bloom Energy, Ice Energy and others in analyzing and evaluating markets for new energy related technologies including fuel cells, microturbines, combined heat and power, cool storage, flywheel and demand response programs.

His experience in demand response area includes working with demand response companies such as EnerNOC and a variety of energy service companies to evaluate demand response potentials.

He has recently served as a reviewer for research organizations in the US, England and Canada and he is currently contributing as an author to an update of one of the most widely recognized energy industry references.

He has extensive experience in developing and applying technology-detailed utility business models. He developed the EPRI COMMEND model and the CEDMS and REDMS models which he applied for electric utilities, public service commissions and energy offices across the US, and Canada to develop and evaluate energy efficiency investments and programs, to support utility integrated resource-planning analysis and to provide expert analysis and evaluations.

He developed the MAISY Utility Customer Energy Use and Hourly Load Databases, the most widely used commercially available source of utility customer end-use hourly load data used by equipment manufacturers, competitive retail electricity providers and electric utilities.

He is an experienced project manager having led projects for the Electric Power Research Institute, Lawrence Berkeley National Laboratory, the US Department of Energy, electric utilities ranging from small municipal utilities like Rochester Public Utility to large municipal utilities such as Austin Energy to large investor owned utilities such as Reliant Energy, Oncor, Pacific Gas and Electric, Florida Power and Light and many others.

His recent book Energy Budgets at Risk (EBAR): Risk Management Approach to Energy Purchase and Efficiency Choice (John Wiley and Sons) provides a new risk management approach he developed to evaluate energy efficiency investments using value-at-risk principles. He publishes in trade and academic journals and speaks frequently on energy-related issues.

He holds a patent on a click-through data visualization process that is currently licensed by some of the largest software providers of business intelligence software.

He serves on review boards to assess technical merit of smart grid and other energy-related projects and serves on editorial boards of academic journals in energy, sustainability and risk analysis fields. He has testified in dozens of electric utility regulatory proceedings.

Consortium Team

The Smart Grid Research Consortium team includes research associates, research assistants, secretarial support and a conference organizer. In addition to these support staff, additional Consortium project team members are assembled from academic and industry organizations to provide expertise for research and applications analysis.