Volatile generation and loads
PV, wind and heat pumps make forecasts harder — deviations cost money on the market.
industries · Energy & Utilities
AI for Energy and Utilities
The energy transition, regulation and volatile markets confront municipal utilities and suppliers with permanent tasks: forecasting loads, maintaining grids and assets, serving customers well under rising contact volumes — and documenting everything. Artificial intelligence (AI) is a working tool for this, not a topic for the future.
Utilities sit on valuable time series: consumption, feed-in, grid and asset data. AI turns them into forecasts and early warnings — and at the same time relieves customer service and administration of routine enquiries and reporting obligations.
We guide utilities from use-case analysis through integration into existing systems to training — with particular attention to data protection, traceability and the requirements of critical infrastructure.
challenges
Where the industry gets stuck
Ageing grids and assets
Maintenance by calendar instead of condition ties up resources — and still does not prevent outages.
Contact peaks in customer service
Bills, price changes and funding questions trigger waves of enquiries that overload call centres.
Reporting and evidence obligations
Regulators, audits and funding programmes demand reports from data spread across many systems.
use cases
Concrete AI use cases
Six entry points proven in practice — each connected to your existing systems and data.
Load and feed-in forecasts
AI models forecast consumption and generation based on history, weather and calendar — the basis for procurement and grid operation.
Condition-based maintenance
Anomaly detection on asset and grid data prioritises maintenance by condition instead of calendar.
Customer service assistant
An assistant answers billing, tariff and relocation enquiries around the clock — connected to billing system and portal.
Document and application processing
Feed-in applications, grid connection requests and forms are read, checked and transferred into workflows automatically.
Reporting and regulation
Reports for authorities and committees are generated automatically from source systems — consistent and on time.
Outage management
Reports are bundled, prioritised and linked with grid data — field crews receive the relevant information immediately.
services
How we support you
Business Analytics
Forecast models, dashboards and KPIs for sales, grid and generation.
AI Integration
Connection to billing, control and GIS systems — on premise or in a GDPR-compliant data centre.
Security
Privacy First AI for critical infrastructure: access concepts, data sovereignty, traceable models.
Use funding
Municipal utilities and energy service providers within the SME framework can use the SAB digitalisation grant in Saxony; for development projects with technical risk, the research allowance comes into consideration. Nationwide, the Qualifizierungschancengesetz funds further training for your employees with up to 100% of course costs — Sellium is an AZAV-certified training provider.
faq
Frequently asked questions
Where does AI pay off first at a municipal utility?
Usually in customer service and document processing: volume and relief are immediately measurable there. In parallel, load forecasts pay off because they directly affect procurement costs.
Do AI solutions meet the requirements of critical infrastructure?
We design solutions to fit your security and compliance requirements: operation in your infrastructure, clear access concepts, logged processing and human approvals at critical points.
Do we need smart meter data for forecasts?
No, you can start with existing time series — load profiles, billing and weather data. Higher-resolution data improves forecasts step by step later.
What about personal consumption data?
We treat consumption data in compliance with GDPR: data minimisation, purpose limitation, aggregation where possible, processing exclusively in your infrastructure if desired.
Is there funding for utilities?
Within the SME framework, yes: in Saxony via the SAB digitalisation grant, for training via the Qualifizierungschancengesetz, for R&D via the research allowance. Our funding page gives an overview.
about sellium
Who is behind this content
This page is created and maintained by Sellium GmbH — a 360° AI agency from Chemnitz. Behind the content is the team around Dr. Christian Lohse, David Kempe, Hendrik Morawetz and Alexander Schuster, who analyse, implement and teach AI projects in mid-sized companies. All information on funding programmes is based on the official sources linked below and is reviewed regularly.
AZAV-certified training provider — selected courses are also AZAV-certified.
- ✓ Privacy First AI: GDPR-compliant, EU AI Act in view
- ✓ 100% data sovereignty possible — on premise or private cloud
- ✓ Based in Chemnitz — personally available across central Germany
Sources for funding information: Sächsische Aufbaubank (opens in a new tab) · Federal Employment Agency (opens in a new tab) · Federal funding database (opens in a new tab)
contact
Let's talk
Happy to help with anything AI. We will get back to you promptly.
Get in touch
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We will get back to you shortly. If it is urgent, you can reach us at +49 371 524 99 140 or contact@sellium.ai.