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About ICF

Haider Khan

Vice President, Energy Analytics
With 20 years of experience, Haider applies advanced energy analytics to solve complex problems for utility clients.

Haider is a specialist in econometric and energy modeling, simulation, and optimization for utility and policy analytics. With 20 years of experience, his focus includes distributed energy resources, demand-side management, energy efficiency, and energy diversification. He helps utilities understand the energy potential of customer programs and assists in the design, implementation, and evaluation of these programs. Haider also supports utility companies in regulatory filings, testifying in several jurisdictions.

Haider leads the distributed energy resources (DER) analytics team that conducts residential, commercial, and industrial energy modeling, data analytics, econometric modeling, and software development. He’s also responsible for all aspects of utility customer programs, including potential studies, program design, implementation, and evaluation.

Haider specializes in the use of modeling, simulation, optimization, machine learning, artificial intelligence, and applying cloud infrastructure to scale up analytics. He’s the author of several publications on various analytics, including those for DER planning, program design, and implementation.

Education
  • Leading Strategic Growth, Columbia Business School
  • Computation for Data Analysis
  • Machine Learning
  • Sun Certified Java Programmer
  • Programming Data Structures
  • Database Design
  • Computer Graphics

Insights

Webinar
Unlock the power of data center load flexibility 
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Article
Three ways to maximize the value of demand response
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Article
Does energy efficiency still save money? We used AI to test it.
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Article
How cost effective are solar and storage as Non-Wires Alternatives?
E863CFDC-E4F9-44F8-A33B-EC91C168E6EA Created with sketchtool.
Webinar
Non-wires alternatives: Everything energy utilities need to know
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