How can electricity networks be managed effectively when only limited data is available? This recent study conducted by the Hellenic Electricity Distribution Network Operator (HEDNO) within the CRETE VALLEY project offers a practical answer.
The publication, titled Modular Load Estimation Framework for Low Observability Distribution Networks: Crete Case Study, presents a new methodology for estimating electricity demand at different points of the distribution network, even in areas where smart meters have not yet been installed and only basic measurements from feeder-level monitoring systems are available.
The framework was tested on a real medium-voltage feeder in rural Crete and demonstrated that accurate estimates of power flows and voltage levels can be achieved despite limited network visibility. To do this, the researchers developed two complementary estimation approaches: a simple baseline method based on uniform load assumptions and a more advanced approach that uses typical consumption patterns derived from smart meter data.
Designed with distribution system operators in mind, the framework is modular and scalable, allowing estimation accuracy to improve as additional data becomes available over time. Its low data requirements and computational efficiency make it particularly useful for rural, remote, and island regions where smart meter deployment is still ongoing.
The results highlight how practical, lightweight tools can help bridge current data gaps and support the transition toward smarter grid management across Europe’s less-instrumented distribution networks.
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Picture by Milada Vigerova on Unsplash
