Projects

SIA “Ecengo” on 07.09.2024 signed an agreement with LIAA 10.2.1.1.2/24/10 for receiving support within the framework of the business incubation project “Development of Innovative SME Entrepreneurship,” co-financed by the European Regional Development Fund.

SIA “Ecengo” on 26.04.2024 signed an agreement with LIAA, Agreement No. 17.2-5-L-2024/235, for receiving support under the Latvian Recovery and Resilience Mechanism Plan, Component 2 “Digital Transformation,” Reform and Investment Direction 2.2 “Digital Transformation and Innovation of Enterprises,” Measure 2.2.1.r “Establishment of Full-Cycle Support for Enterprise Digital Transformation with Regional Coverage,” Investment 2.2.1.2.i “Support for Process Digitalization in Commercial Activities.”

In collaboration with the European Union Recovery Fund, LIAA provides grant support for SIA “Ecengo” investment project to improve commercial (data management) processes and acquire data processing and process management software.

In collaboration with the European Union Recovery Fund, LIAA provides grant support for SIA “Ecengo” investment project to improve the following commercial processes: production and quality control processes, specifically, a laser engraving machine with software.

In collaboration with the European Union Recovery Fund, LIAA provides grant support for SIA “Ecengo” investment project to improve the following commercial processes: administrative processes, specifically, an e-invoicing management solution.

In collaboration with the European Union Recovery Fund, LIAA provides grant support for SIA “Ecengo” investment project to improve the following commercial processes: production and quality control processes, specifically, a mobile application for smart device assembly and data management.

SIA “Ecengo” is implementing a project under the European Union Cohesion Policy Program for 2021–2027, Specific Support Objective 1.1.1 “Strengthening Research and Innovation Capacity and Introducing Advanced Technologies in the Common R&D System,” Measure 1.1.1.3 “Practice-Oriented Research.”

Project Title: Enhancing the Efficiency of Heating System Management in Multi-Apartment Buildings Using Artificial Intelligence Solutions and Predictive Data

Project Agreement Number: 1.1.1.3/1/24/A/066

Project Partners: Lead Partner – University of Latvia, Partners – SIA “RLAB” and SIA “Ecengo”

Project Implementation Period: 01.09.2025 – 31.08.2028 (36 months)

Total Project Funding: 656,452.50 EUR (European Regional Development Fund funding 510,063.59 EUR; State budget funding 89,933.99 EUR; private funding 25,489.44 EUR).

• University of Latvia funding is 360,060.00 EUR (77.70% ERDF co-financing 279,766.62 EUR; 13.70% State budget co-financing 49,328.22 EUR; 8.60% co-financing, i.e., 30,965.16 EUR);

• SIA “RLAB” funding is 131,575.00 EUR (77.70% ERDF co-financing 102,233.78 EUR; 13.70% State budget co-financing 18,025.78 EUR; 8.60% co-financing, i.e., 11,315.44 EUR);

• SIA “Ecengo” funding is 164,817.50 EUR (77.70% ERDF co-financing 128,063.20 EUR; 13.70% State budget co-financing 22,580.00 EUR; 8.60% co-financing, i.e., 14,174.31 EUR).

Project Objective: To develop an innovative Model Predictive Control (MPC) neural network architecture for managing heating systems in multi-apartment buildings and to evaluate its effectiveness. The project aims to enhance energy efficiency, improve forecasting accuracy, and increase resident comfort. It will involve comparing different neural network architectures for buildings of varying sizes, optimizing network configuration parameters, and creating scalable methods for transitioning from traditional control systems to data-driven MPC. The goal of this transition is to achieve significant energy savings and reduce the carbon footprint in the European Union (EU) building sector, including in Latvia.

Published: 01.09.2025