EaaS can benefit a wide range of stakeholders due to the optimisation of physical, digital and communication infrastructure.

Energy-as-a-service (EaaS) is a business concept in which clients pay for an energy service without making any initial capital investment. EaaS models often take the form of a subscription for a service company's electrical equipment or control of energy use to supply the required energy service. This issue investigates how the EaaS model has helped customers by pushing advanced technology, as well as its potential for accelerating the implementation of low-carbon solutions.

Intermediaries of a large number of smaller loads renegotiate better pricing on behalf of bigger client groups. Implementing dynamic pricing mechanisms such as time-of-use tariffs and giving users with constant information on spot market prices (where appropriate) can encourage better consumption control.

With local area networks or telemonitoring services supplied by telecommunication companies, internet of things devices can be combined with utilities or conventional businesses. Increased access to consumption data can aid utilities in the development of new energy management tools. Power suppliers may utilize the data to deliver proactively personalized analyses and suggestions to enhance outcomes and customer satisfaction.

EXCELTIC has an Industry & Energy Unit, which is composed of engineers with vast expertise in energy, engineering and construction services, as well as a broad range of technical knowledge in electric, mechanical, industrial and civil engineering services.

Additionally, EXCELTIC has a Technology Services Department, which is composed of engineers with vast expertise in software development, as well as a broad range of technical knowledge in big data and machine learning technologies, which works closely with Industry & Energy Unit at collaborating with energy and utility companies in addressing their challenges in a sustainable, realistic, and efficient way.


  • Energy dashboards elaboration
  • Online monitoring of electricity consumption metrics
  • Cloud and on-premise deployment
  • Scalable and configurable SaaS/PaaS/IaaS solutions
  • Integration with other systems for automatic KPI reports creation
  • Development of mathematical models for the simulation, optimization, and prediction of energy usage, as well as predictive maintenance metrics
  • Configuration of alerts and reports



16 years of experience in Industry & Energy projects


Full end-to-end Engineering & Construction technical assistance assistance coverage


Multi-disciplinary local team, with regional experience and global perspective


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