In the continuation of Smart Talks with Jovan Season 8, the discussion expanded from smart metering toward the broader transformation of electricity systems through smart grids, digital technologies, and workforce development. Cleophas Ouma Ogutu (Kenya Power), Jeremiah Kiplagat (Kenya Power Institute of Energy Studies and Research), and Daniel Bungey (World Energy Council) shared their perspectives on how African countries, particularly Kenya, can modernize their energy systems to meet rapidly growing electricity demand.

The panel explored the role of infrastructure upgrades, digital platforms, artificial intelligence, and human capacity in enabling more resilient and efficient energy systems.

What factors do you consider essential for the successful implementation of smart grids in Africa, Kenya, and especially in countries with rapidly growing electricity demand?

Ogutu:

A major factor for successful smart grid implementation is the ability to integrate renewable energy sources effectively. Modern electricity systems must be capable of balancing power from multiple sources while maintaining stability and reliability. Energy storage solutions also play an important role by allowing excess generation to be stored and used when demand increases. In addition, smart grids require a strong digital backbone that enables real-time communication and data exchange across the network. Automation and monitoring systems allow utilities to detect faults quickly and manage grid operations more efficiently.

Kiplagat:

Before introducing digital technologies, the physical grid must first be strengthened. Reliable infrastructure—such as transmission lines, transformers, and substations is essential to support smart grid functionality. Without a stable network, the benefits of digital systems cannot be fully realized. Once the grid infrastructure is improved, digital technologies such as SCADA, Advanced Distribution Management Systems (ADMS), and Distributed Energy Resource Management Systems (DERMS) can enable real-time monitoring and control. Cybersecurity also becomes a critical element as power systems become increasingly digital. Clear regulatory frameworks and predictable investment conditions are also necessary. Utilities need long-term planning certainty in order to justify investments in grid modernization.

Bungey:

Smart grid development requires a clear long-term roadmap. Utilities must understand the current structure of their networks and develop a strategy that gradually introduces digitalization and operational flexibility. Electricity demand is expected to grow significantly as more sectors, such as transportation and cooling, become electrified. Smart grids allow utilities to manage this increasing demand while integrating renewable energy sources and maintaining system stability. Regional coordination is also important, as many electricity systems operate within interconnected regional power markets. Aligning standards and operational rules across countries can help ensure that smart grid investments remain effective in the long term.

How can data and artificial intelligence reshape the way we manage energy systems in the future?

Kiplagat:

Artificial intelligence has the potential to transform energy systems by enabling predictive rather than reactive operations. Utilities can use AI to identify potential equipment failures before they occur, which improves reliability and reduces maintenance costs. AI also supports more accurate demand forecasting and helps utilities manage the integration of renewable energy sources. Real-time monitoring and data analytics can detect losses and improve operational efficiency across the grid.

Bungey:

Artificial intelligence will also influence electricity demand itself, particularly through the growth of data centers and digital infrastructure. This trend will need to be considered in future energy planning. At the operational level, AI can support customer management, demand forecasting, and system optimization. In many utilities where estimated billing is still used, AI tools can improve consumption analysis and increase billing accuracy. AI can also support the development of dynamic pricing models and time-of-use tariffs based on consumption patterns.

Ogutu:

Data and artificial intelligence can significantly enhance decision-making within utilities. They help utilities forecast demand, detect electricity theft, and improve customer engagement through better transparency and communication. However, the success of AI depends on the quality of the underlying data. Utilities must ensure that their data systems are clean and properly mapped across the grid. For example, meters must be correctly linked to transformers, feeders, and substations. Without accurate data, advanced analytics cannot deliver reliable results. AI adoption also introduces new professional roles within utilities, including data scientists and IT specialists, alongside traditional power engineering expertise.

How can Kenya ensure capacity building and workforce development to support the transition to digital energy systems?

Ogutu:

Capacity development must align with the technologies that utilities are adopting. Training programs should focus on both developing new skills and reskilling existing employees so they can remain effective as digital technologies are introduced. Utilities must also consider succession planning and ensure that institutional knowledge is transferred to younger professionals while new capabilities are developed.

Bungey:

The transition toward digital energy systems requires a systemic approach to education and workforce development. Universities and training institutions must prepare professionals with interdisciplinary skills that combine engineering, data science, policy, and finance. Human capacity is the foundation that enables successful technological transformation within the energy sector.

Kiplagat:

Capacity building must be continuous and structured. Utilities can support this through training institutes, specialized laboratories, and partnerships with technology providers.Future energy professionals will increasingly need hybrid expertise that combines traditional power engineering knowledge with digital and data skills.

Conclusion

The discussion highlighted that smart grid implementation requires more than technological upgrades. Strong infrastructure, clear regulatory frameworks, and long-term strategic planning are critical for successful deployment.

Data and artificial intelligence will increasingly enable predictive maintenance, improved demand forecasting, and more efficient grid operations. At the same time, building the right workforce will remain essential for managing the growing complexity of digital energy systems.

For countries such as Kenya, coordinated investments in infrastructure, digital technologies, and human capacity will play a central role in building resilient and future-ready power systems.