Grants and Contributions

Enertel Optimization Agents focuses on developing advanced optimization agents for power traders, leveraging market price forecasts to deliver precise price-quantity pairings to enhance financial performance. These agents aim to improve trading outcomes by outperforming naive benchmarks, with specific enhancements for battery dispatch and other assets. Key goals include ensuring reliability with daily and hourly operations, financial outperformance through adaptable algorithms, and providing comprehensive backtesting tools for transparency and decision analysis. The system will support traders and analysts in making informed, data-driven decisions for battery dispatch, valuation and siting.

The project will support development of intellectual property capacity within the firm.

The Project will provide a robust and scalable platform for capturing, processing, and analyzing raw inline multimodal data in near-autonomous fashion. The system will enable real-time or near-real-time processing of the raw information in documents and images into synthesized data for further analysis and analytics generation in an interpretable fashion. Utilizing our advanced generative machine learning algorithm, the system will also provide a means to analyzing and visualizing the results, revolutionizing the way we capture, process, and analyze multimodal data in near-autonomous fashion with significant applications in the energy sector.

As part of the international cleantech project, “Accelerating Commercialization: Demonstration of Canadian CCU Technology ” .CU’s carbon capture and utilization (CCU) technology enables the production of high-performance supplementary cementitious materials (SCMs), enabling concrete companies to reduce cement usage while maintaining necessary concrete strength.

The purpose of this youth project is to fully reorganize the Firm's marketing materials for purpose of expanding sales, including website materials, email marketing, video and social media.

Growing under tunnels has presented different challenges. One of them is the increase of heat because of the plastic roof and climate change. A physiological effect of the hot weather inside the tunnels is called “Heat dormancy”. During the last three years the heat dormancy problem associated to everbearing strawberries was measured and addressed. This is a common occurrence problem in everbearing strawberries and make it stronger effect here in Nova Scotia, where the blossom is widely affected and stop because of that. This project will study three techniques: use of misting sprinklers, screen shades, and photoperiodic lights to minimize the effect of the heat dormancy in everbearing strawberries.

The goal of this project is to fully automate firm's two main production lines, along with redesigning the assembly stations making up the other smaller assemblies of firm's product catalog to increase production enough to expand sales overseas and at the worldwide level.

Volta Air is developing an advanced multi-temperature control system and integrated heating solution for transport refrigeration units. The project aims to enhance temperature control capabilities, address heating issues in cold climates, optimize solar charging, and optimze the advanced battery management systems.

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution aimed at strategic planning and execution for Nonprofits and SMEs.

The Project will support pilot testing of AI strategies and determine the target architecture and quantitative technical objectives for implementing Owl Assist. Owlya's Owl Assist leverages AI to efficiently generate questions and rubrics. It also auto-grades assessments, streamlining instructors' workflows by learning from their grading corrections.