Advancing the Science of Smart Energy


The Siebel Energy Institute is a global consortium for innovative and collaborative energy research.
The Institute funds cooperative and innovative research grants in data analytics, including statistical analysis and machine learning, to accelerate advancements in the safety, security, reliability, efficiency, and environmental integrity of modern energy systems.

Siebel Energy Institute member universities include:

UC Berkeley

UC Berkeley is a place where the brightest minds from across the globe come together to explore, ask

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Carnegie Mellon University

CMU is a global leader bringing groundbreaking ideas to market and creating successful startup businesses. Its award-winning faculty

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Ecole Polytechnique

École Polytechnique is a leading French institute, combining top-level research, academics, and innovation at the cutting-edge of science

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University of Illinois at Urbana-Champaign

Using innovative approaches, both disciplinary and interdisciplinary, Illinois’ researchers work to translate insights on problems such as global

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Massachusetts Institute of Technology

The mission of MIT is to advance knowledge and educate students in science, technology, and other areas of

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Politecnico Di Torino

Politecnico di Torino is one of the most prestigious international public institutions, focusing on education, research, technological transfer

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Princeton University

Princeton University is a vibrant community of scholarship and learning that stands in the nation’s service and in

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The University of Tokyo

The University of Tokyo aims to be a world-class institution for research and education, expanding the boundaries of

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Tsinghua University

Tsinghua University is among the most selective universities in the world. Drawing on a rich local tradition of

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The Siebel Energy Institute fosters research collaboration among these premier universities and spurs the greatest minds in engineering and computer science to address the most pressing energy challenges of our time.

Siebel Energy Institute

Why It Matters


Critical Need for Institute Research

Cyber Physical Systems (CPS) and the Internet of Things are examples of phrases used to describe the integration of a modern information backbone into the functioning of physical systems and infrastructures. What has received much less attention is the integration of techniques for the analysis of massive amounts of data (“Big Data”) in near real time to better operate CPS. A leading adopter of such technologies is the energy sector: the smart grid, oil and gas, and other industrial infrastructures associated with the modern energy ecosystem.

An estimated $2 trillion is being invested this decade in upgrading the power infrastructure globally to make devices in the power grid remotely machine addressable. In addition to smart electric and gas meters, many of the devices that constitute the grid are adding sensors including transformers, substations, and other power generation and control componentry.

Collectively, smart connected devices across today’s energy system generate massive amounts of information. Highly sophisticated statistical algorithms are necessary to integrate the data, create data-driven statistical models with predictive power, and extract the value and economic benefit from this otherwise incomprehensible stream of information.

The application of energy analytics is not limited to natural gas and electric utilities. Large amounts of data are being collected on oil and gas production, transportation, refining and consumption.

Improved Data Analytics

Data analytics and machine learning are critical to smart grid optimization and the modern distributed energy system. By holistically correlating and analyzing all data associated with the dynamics and interactions of the end-to-end power infrastructure – including real-time and predicted demand, consumption, technical and non-technical loss, weather, and generation capacity across the entire power value chain – dramatic advances in safety, reliability, affordability and energy efficiency can be realized. Other economic and social benefits include:

  • Reducing energy use and associated carbon emissions
  • Reducing the fuel necessary to power the grid
  • Dynamically reconfiguring the power network around points of failure
  • Reducing technical and non-technical energy loss, including energy theft
  • Preventing power interruptions
  • Prioritizing demand response
  • Predicting, preventing and recovering rapidly from power interruptions
  • Accurately predicting load and distributed generation capacity
  • Preventing and prioritizing cybersecurity breaches
  • Reducing adverse environmental impacts

A recent McKinsey & Company study has shown that the economic and social benefit of smart grid analytics can exceed $300 per meter, per year. In the oil and gas sector, a unified algorithmic framework for decision making at both the supply and demand level will produce improvements in safety and new paradigms of operational efficiency.


Institute Programs

Fostering High-Impact Collaborations


Seed Funding of Development of Large Proposals

Twice a year the Institute invites researchers to submit brief proposals for seed grants to develop larger submissions to government entities and foundations. One-time grants of $50,000 are available.  

Matching Grants for Successfully Funded Projects

For successfully funded and eligible projects, the Institute awards matching grants up to 20% of the contract or award amount per year, capped at $75,000 per year.

Industrial Advisory Board

The Industrial Advisory Board is an exclusive industry partner program that fosters active collaboration between the private sector and the Institute members and researchers. Members, including senior officials from energy companies and utilities, and other stakeholder organizations, act as advisors, reviewers, and mentors, offering timely input on energy-sector-related industrial and societal needs and trends.

Siebel Energy Institute Research Conferences

The Institute holds an annual conference to disseminate the results of the projects associated with the Institute. Academic researchers, Siebel Energy Institute Industrial Advisory Board, utility companies, energy companies, and other stakeholders are invited to attend.>

Selected Topical Research Workshops

The Institute will hold special in-depth, two-day workshops on new and emerging areas and methods for energy analytics as necessary.

Siebel Scholars

The Institute coordinates with the Siebel Scholars Foundation each year to select nine students from among the consortium universities to receive $35,000 as a merit-based award to defray the costs of their education.

Research Publicly Available

To maximize the impact of research and its long-term benefits to society, research outcomes will be publicly available. Funding recipients and project participants are strongly encouraged to grant Non-Exclusive Royalty Free (NERF) licenses in the specific projects in which the inventions are made and in all intellectual property created.


Advisory Board


S. Shankar Sastry

Institute Director
Siebel Energy Institute
Dean, College of Engineering
University of California, Berkeley

Jacques Biot

École Polytechnique

Andreas Cangellaris

Dean, College of Engineering
University of Illinois at Urbana-Champaign

Gary Fedder

Vice Provost for Research
Carnegie Mellon University

Marco Gilli

Politecnico Di Torino

Mamoru Mitsuishi

Dean, School of Engineering
University of Tokyo

H. Vincent Poor

Dean, School of Engineering and Applied Science
Princeton University

Thomas M. Siebel

Siebel Energy Institute

Ian A. Waitz

Dean, School of Engineering
Massachusetts Institute of Technology

Bin Yang

Vice President and Provost
Tsinghua University


Industrial Advisory Board


Ed Abbo

President & Chief Technology Officer
C3 IoT

Deborah Affonsa

Vice President, Customer Service

Thomas Birr

Senior Vice President, Group Strategy & Innovation

Matteo Codazzi

Chief Executive Officer

Livio Gallo

Head of Global Infrastructure and Networks
Enel Group

Datta Godbole

Chief Technology Officer, Honeywell Building Solutions

William Jackson

Executive Vice President and President, Building Efficiency
Johnson Controls

Yves Le Gélard

Chief Digital Officer & Chief Information Officer

Tilak Subrahmanian

Vice President, Energy Efficiency
Eversource Energy

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