“Quadrical AI Has Linked The Emerging And Energetic Technology And Business Environment In India With Canadian Universities And Research Hubs At The Forefront Of AI.” Dr. Hugh Hind, Co-Founding CTO, Quadrical AI

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1. Give us a brief idea about the Quadrical Ai 5-in-1 Solar Management Platform?

Quadrical Ai is a B2B Technology company helping Solar Companies manage their plant assets better with Increased Generation and Reduced O&M costs. Combining Data Engineering and Deep Math, founders Sharat Singh, and Dr. Hugh Hind has built a 5-in-1 Solar Management platform with proprietary and patented AI.

  • RealTime Monitoring & Reporting (Faults/Failures) across Plants and Portfolio
  • Forecasting >98% Daily accuracy in Head-to-Head Tests
  • Predictive Maintenance with AI. Actionable O&M Guidance, prioritized by revenue impact
  • Digital Twin AI Based Data Platform

‘Future Proof,’ and Extensible, these ‘Digital Twins’ of Solar plants learn how to optimize their every aspect with a holistic 25-Year Plan.

2. What do you believe is the strength of your organisation and how do you stand apart from your competitors?

Location, Leadership, Focus and Delivery.

Quadrical has made a conscious decision to link the rapidly emerging Indian technology centers and energetic business environment with the leadership position Canadian universities and research hubs have established at the forefront of AI evolution. Quadrical’s India base is Gurgaon in the NCR, Northern India’s technology hub. In Canada Quadrical is based in Waterloo, home of the world class Computer Science, Engineering and Mathematics University of Waterloo. Our Global team is organized for scale, innovation, and cost efficiencies.

Leadership is provided by the principals of Quadrical who bring years of experience accumulated while working in Canada, India, the US and Europe to introduce new and game changing technologies within major companies, but who remain enthusiastic and active with the goal of doing the same for AI.

Our leaders recognize that focus and timely delivery are the keys to success in any technology field; Our Big-Data AI-first open and extensible SaaS platform for enterprise users and developers is built for utility scale and is AI optimized for distributed solar use cases. 

Our Comprehensive Digital Twin approach renders Quadrical Ai as the ONLY all-in-one platform with

i.  Benchmarking

ii. Better monitoring with accurate needle-in-haystack identification

iii. Predictive maintenance

iv. O&M guidance with revenue prioritized and actionable tickets

v.  Yield prediction with storage, trading, and pricing optimizations

3. Please tell us how data can accelerate the uptake of Solar and make it more effective?

PV Solar has achieved the goal of becoming the lowest cost method of generating electricity by a combination of technological advancement, massive increases in scale, and geographic distribution, and a trend towards just-in-time maintenance activities. The use of advanced data analytics can help in each of these areas: Technological advancement has increased complexity resulting in an increase in the number of possible failure modes; data analytics can identify patterns both identifying the nature of a fault and in some cases predicting that the fault is developing or about to occur.  Increases in scale make human inspection to detect errors both inefficient and defeat the economies of scale advantage; data analysis is able to direct human attention, filtering out the normally operating parts of the plant and enabling the high-cost human time to focus only on those components which are failing or have failed. Geographic distribution to deploy solar plants in the best locations to generate power generates a monitoring challenge, requiring either the creation of multiple local operations and maintenance teams or expensive travel from the centralized location to the plants; using sensor systems and data analysis allows remote monitoring and re-configuration of the distributed plants. Finally, significant cost can be incurred through rigidly scheduled maintenance activities (e.g. panel cleaning), using data analysis to identify the optimal time for each activity can, in some cases, result in substantial savings.

4. What are some technology innovations you are aiming at in the next couple of years?

Quadrical is focusing on improved anomaly prediction and detection, processes to improve data integrity, distinguishing normal course variations from genuine problems, and integration of data from multiple data sources (e.g., plant sensors, weather data, drone and satellite imagery).

Further out the integration of Quadrical’s state of the art yield forecasting capability and energy storage systems to optimize system operation and storage lifetimes is expected to yield further cost advantages to PV Solar operations.

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