Artificial intelligence (AI) may be the key to unlocking humanity's problem-solving capabilities but engaging with AI is not necessarily intuitive. Industrial enterprises find it difficult to understand how specific AI advances can be applied to their organizations and how to begin integrating AI technology at scale. Starting to work with AI is no different than with any other technology: Understand the problem you are trying to solve, understand the capabilities of the technology, and reconcile the two. We distilled the steps from our application of AI across a variety of real-world projects. To make the steps tangible, we will deepdive into one: Google data center energy efficiency. Google wanted to reduce the energy consumed by its data centers while maintaining a temperature that was safe for operations. The team started this project with one of Google's newest, most optimized data centers. This provided a data-rich environment with the most up-to-date sensors and equipment, which helped baseline performance (and later measure impact). The result was an AI system that achieved 30% reduction in energy consumption while continuing to operate the data center in a safe, effective manner. The benefit was clear: Google reduced its data center energy consumption, environmental impact, and bottomline cost while improving the efficiency of the system. Google is now looking to expand the scale and application of this technology.
We invite you to join us in this quarter's Stanford Smart Grid Seminar. The theme of the seminar series is on smart grids and energy systems, scheduled for Thursdays, and with speakers from academic institutions and industry. The seminar room is Room 111 in Y2E2 Building.
The speakers are renowned scholars or industry experts in power and energy systems. We believe they will bring novel insights and fruitful discussions to Stanford. This seminar is offered as a 1 unit seminar course, CEE 272T/EE292T. Interested students can take this seminar course for credit by completing a project based on the topics presented in this course. Please discuss with the faculty in charge before signing up for credit.
Smart Grid Seminar Organization Team:
- Ram Rajagopal, Associate Professor, Civil & Environmental Engineering, and Electrical Engineering
- Liang Min, Managing Director, Bits and Watts Initiative
- Chin-Woo Tan, Director, Stanford Smart Grid Lab
- Mohammad Rasouli, Postdoctoral Scholar, Civil and Environmental Engineering
Mandeep Waraich is the Head of Product for Industrial Artificial Intelligence at Google Cloud AI. In his role he leads a portfolio of AI products and a team of PMs to build products that help improve industrial productivity and efficiency in a sustainable and responsible manner. Some of his projects include using AI to optimize energy consumption in commercial buildings, using computer vision for detecting defects on wind turbines and solar farms. Prior to Google, Mandeep was the Founder and CEO of an AI/ML based startup Adio Inc, that built personalization and recommendation engines. Adio Inc. was acquired by Target Corp. where subsequently Mandeep led a team of data scientists and product managers to scale ML based decision systems across Target's enterprise business functions. Mandeep started his career as a microprocessor design engineer optimizing power consumption in Intel's Xeon series of server microprocessors. He is a Stanford GSB graduate, having completed his masters degree in management in 2018