ElektroDistribucija Srbije modernizes its grid with Schneider Electric's EcoStruxure ADMS and DERMS
ElektroDistribucija Srbije (EDS), Serbia's distribution system operator serving 3.8 million customers, implemented EcoStruxure ADMS and EcoStruxure DERMS from Schneider Electric to digitize grid operations, support renewable energy integration and improve reliability across its legacy electricity grid. Results included a 10-15% reduction in network losses, a roughly 20% reduction in outages, improved integration of distributed renewable energy resources, and condition-based maintenance improving operational efficiency.
Overview
ElektroDistribucija Srbije (EDS), Serbia's distribution system operator serving 3.8 million customers, implemented EcoStruxure ADMS and EcoStruxure DERMS from Schneider Electric to digitize grid operations, support renewable energy integration and improve reliability across its legacy electricity grid. Results included a 10-15% reduction in network losses, a roughly 20% reduction in outages, improved integration of distributed renewable energy resources, and condition-based maintenance improving operational efficiency.
The challenge
ElektroDistribucija Srbije (EDS), Serbia's distribution system operator serving 3.8 million customers, needed to modernize its legacy electricity grid to support renewable energy integration and improve reliability.
The solution
EDS implemented EcoStruxure ADMS and EcoStruxure DERMS from Schneider Electric to digitize grid operations, with the partnership aimed at reducing network losses and increasing operational efficiency through network digitalization.
Reported business value
Results included a 10-15% reduction in network losses, a roughly 20% reduction in outages, improved integration of distributed renewable energy resources, condition-based maintenance improving operational efficiency, and increased grid reliability for 3.8 million customers.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other energy entries in the register.
Building a clean energy future with natural language analytics
Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.
WilliamsDatabricks AI/BI Genie · Databricks Unity Catalog
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
PlenitudeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +2Shell delivers innovative energy solutions with data and AI on Databricks
Shell built its Shell.ai platform on Databricks to unify data, analytics, and AI workloads for its 600-member mathematics, computational and data science team, running over 100 AI applications including an inventory prediction model running 10,000+ simulations across spare parts and facilities, and an AI-powered recommendation engine for its loyalty program.
Using data to power-fuel the transition to a carbon-neutral world
Helen, Helsinki's energy utility, built a centralized data and AI platform on Databricks to power forecasting and optimization models for its district heating system serving about 90% of Helsinki's population, processing real-time streaming sensor and IoT data to optimize distributed energy resources and EV charging placement as part of a plan to cut carbon emissions over 80% by decommissioning coal plants.
Helen· FinlandDatabricks Data + AI Platform · Delta Lake · Spark Declarative Pipelines +3Was this helpful?
Your feedback helps us improve our use case database