Smart Metering in Kenya: From Manual Reads to Intelligent Infrastructure
In this interview, we speak with Cleophas Ogutu, Senior Engineer & Project Manager for AMI and GIS Data Cleanup at Kenya Power, who shares how the company has transformed its metering infrastructure through a phased and strategic adoption of smart technologies.
With over 15 years of experience in the energy sector, he reflects on Kenya Power’s shift from electromechanical meters to fully digital, bi-directional AMI systems. Drawing on practical lessons from large-scale deployments and system integration challenges, Cleofas explains how smart metering has helped combat energy theft, improve customer satisfaction, and optimize operations. This conversation offers a grounded look at how data, design, and targeted investment are shaping the future of grid management in sub-Saharan Africa.
Could you share more about your involvement and specific projects related to the rollout of smart meters?
At Kenya Power, digitalization and smart metering have been both a journey and a hands-on experience. From concept to implementation and finally assessment, I’ve had the opportunity to lead end-to-end projects. Our primary drivers for adopting smart metering technologies were combating electricity theft and reducing both technical and commercial losses. Enhancing customer satisfaction, improving workforce management, enabling data-driven planning, and ensuring network reliability also played central roles.
We began by transitioning from electromechanical meters to static digital meters, which were digital but lacked communication capabilities. Later, we moved to smart meters that support remote communication, making it possible to collect data and manage devices without physically accessing customer premises. This shift was driven by operational cost reduction, the need for accurate readings, and the ability to monitor and respond to tampering attempts-Loss Reduction.
Initially, we implemented AMR (Automated Meter Reading) meters, which allowed one-way communication. While this provided basic data retrieval, it required manual intervention for tasks like disconnection. Realizing the limitations, we upgraded to AMI (Advanced Metering Infrastructure) meters, which support bi-directional communication, enabling remote disconnection and reconnection.
Strategically, we started with premium customers — a small segment contributing about 55% of our revenue. Around 7,000 customers out of 7 million at the time were responsible for over half of our sales. This justified investing in high-end metering technology and developing robust outdoor enclosures (IP64/IP54 rated) installed at the takeoff point of the service line cable. This approach minimizes tampering opportunities, including illegal tapping, by placing the metering point as close as possible to the utility-controlled infrastructure.
On the systems side, we initially lacked a proper meter data management system (MDMS). With multiple vendors, we faced interoperability issues. Between 2010 and 2014, we learned the importance of having a vendor-agnostic MDMS that integrates multiple head-ends and supports multi-vendor environments. Eventually, we set up centralized meter data control centers for real-time monitoring and field operations coordination.
What is the current status of smart metering system implementation in Kenya in terms of coverage, technology, and key stakeholders?
Kenya Power has about 9.8 million customers. Within this, approximately 650,000 belong to the SME and large commercial & industrial category, contributing 85% of total revenue. Of those, 610,000 already have smart meters. The remaining 40,000 are still on static or early-generation AMR meters — and they represent the next logical step in our rollout.
The rest of our customers, nearly 9.2 million, are primarily on prepaid meters. These customers, although numerous, contribute only 15% of revenue. Prepaid meters were introduced to reduce metering costs and secure revenue collection in advance. However, tampering is more frequent, particularly in informal urban settlements and rural areas where grid extension was necessary.
For communication, we have standardized on GPRS technology, supported by two major telecom providers. Despite experimenting with PLC (Power Line Communication), we faced technical constraints due to grid noise and infrastructure limitations. With GPRS, our success rate is generally above 90%, thanks to strong national coverage. Though effective, the communication cost is about $1.20 per meter per month — a significant operational expense we are keen to reduce.
We’ve explored G3 PLC, but as a utility, we’re limited in our capacity to verify compliance through rigorous testing. Some suppliers claim G3 compatibility, and we’ve requested certificates, but definitive technical validation remains a challenge. We’re also evaluating G3 PLC hybrids (with RF) and broadband PLC options for future scalability. Any adoption will be preceded by rigorous proof-of-concept evaluations to ensure interoperability and performance.
Are there national plans or strategies that foresee a large-scale rollout of smart meters in the coming years?
The Kenyan government is indirectly mandating a full digital transition by emphasizing the importance of actual, real-time metered data — not estimates or manually collected figures. While there is no explicit law yet requiring 100% smart meter coverage, the policy direction is clear. Utilities are expected to adopt data-driven operations, which inherently means moving toward smart metering.
Internally, at Kenya Power, we have started procuring more smart meters, even for lower-tier customers. This marks a shift toward full adoption. The approach is gradual — rather than replacing all existing meters in a single project, we are integrating smart meters through new connections, replacements of aged or tampered meters, and targeted upgrades.
Given this strategy, we expect to transition to a fully smart-metered customer base within the next five to ten years. The rollout will be progressive, supported by innovations like advanced DCUs capable of handling multiple PLC versions and DLMS/COSEM compliance. We aim to build a flexible, future-proof infrastructure that supports large-scale integration and aligns with evolving regulatory expectations.
Kenya Power has taken a gradual approach to smart metering, starting with AMR systems for premium customers to reduce electricity theft and losses. They later moved to AMI systems with two-way communication and robust infrastructure to minimize tampering, balancing technical efficiency with business needs.
The rollout has been technically complex, requiring a vendor-agnostic MDMS, standardized GPRS communication, and careful evaluation of technologies like PLC and G3 PLC. This highlights challenges in interoperability, operational costs, and building scalable infrastructure.
While there is no law mandating full smart meter coverage, Kenya’s policy emphasizes real-time metered data. Kenya Power plans to gradually replace all meters over the next five to ten years, aiming for a flexible, future-proof system that supports full digitalization of the network.
What challenges do you think Kenya might face in achieving full smart meter coverage across both urban and rural areas?