

The Signal Science Lab
Dream, Innovate, Deliver
Join Us for Energy Systems Webinar
On
Smart Grid Software Applications
The Signal Science Lab at Cornell University cordially invites you to our first annual Energy Systems Webinar. We will showcase two innovative software solutions designed for electricity utility providers and consumers
Predict-a-Bill
Load4Cast
3 Sessions
2pm - 3pm
Inventing Algorithms for Industrial Scale Smart Grids
Shikhar Prakash
Graduate Student, Systems Engineering
Redefining Electricity Payments using AI
Utkarsh Misra
Graduate Student, Systems Engineering
About Us
What We Do?
A modern innovation lab with multidisciplinary research focus on the problems that need urgent solutions from disease dignosis to data compression to anything under the sun. The lab pursues a synergistic interface among the disciplines of Computer Science, Electrical Engineering, Economics, Physical Sciences and Life Sciences. The fundamental and applied research carried out in the lab is aimed at technology development and commercialization, following the “lab-to-market” approach to address unmet societal needs.
Why We Do It?
The lab works on the philosophy of “using science to serve community”. Our motto is to “Invent Future”. The Lab members pursue high risk projects and believe that if “one is not failing, one is not trying hard enough”. The success of the projects is measured on practical outcomes, such as the number of start-ups and licensing agreements originated from the research projects.
How We Do It?
In the lab, the post-docs, graduate students and undergraduate students design research projects based on their own ideas. While common for post-docs and graduate students, undergraduate students also serve as first authors in publications as they independently work on their research projects. The lab environment is extremely collaborative where technical skills and experiences are constantly shared by the lab members.
Research Areas
1Electron Spin Resonance
2Nuclear Magnetic Resonance
3Energy Systems
4Materials Design
5Video Processing
6Signal Processing
7Molecular Biophysics
8Magnetic Resonance Imaging
9Clinical Diagnosis
10Quantitative Finance
Research Project Highlight
Energy Systems
Overview
Integrated approach to energy systems is crucial for enabling various energy sources, efficient energy usage, electricity pricing and data-driven assest management and planning. The current challenge is meeting the growing demand of electricity with smart grid operations.
At Signal Science Lab, we are developing advanced data structures for comprehensive and integrated analytics of smart grid, as well as mobile and cloud computing algorithms for smart grid and reliable pricing. Our expertise lie in processing large data sets in real-time, while maintaining the data privacy. We combine AI models with mathematical approaches to yield deterministic results.
From load forcasting to business inteligence dashboard, the outcomes of our research allows utilities for improve their operations and have access to early warning systems, as well as improved supply chains and customers paying lower prices.
Products
Predict-a-Bill Software
- Subscription-based billing system that converts variable energy costs into fixed monthly pricing.
- Reduces billing related service calls volume.
- Reduces customer switching cost when a resident moves out and moves in.
- Preempt defaulters in billing months in advance.
Load4Cast Software
- Substation load forecasting for asset maintenance and planning.
- Real-time monitoring and access-analytics of substation.
Grid IQ Software
- Grid intelligence for cross functional data infrastructure for accessing key performance index (KPI).
- Mapping of consumer-level AMI data to substation and feeder level analytics.