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ADEX Energy

Sofia, Bulgaria · 11-50
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Domain (max 1) Markets & orchestration
Technology (max 3) Algorithmic Power Trading & ETRMGrid-scale BESS & Hybrid plantsUtility & C&I VPP Aggregation

AI AnalysisClassification & Focus Areas

AI Insights

"Automated intraday trading and VPP aggregation with integrated production forecasting — reduces imbalance costs for European utilities and traders."

Domain Affinity

Markets & orchestration 55%
Monitoring & control 30%
Analytics & Forecasts 15%

Technology Breakdown

On-site EMS / edge controller
95%
Power plant controller (PPC)
95%
Algorithmic Power Trading & ETRM
90%
SCADA
90%
Grid-scale BESS & Hybrid plants
85%
Utility & C&I VPP Aggregation
85%
Renewable power forecasting
80%
Consumption & load forecasting
70%

Offerings Products & Services

ADEX Sales

Fully-automated energy billing and invoicing software for complex energy services, supporting flexible pricing models, CRM features, and a customer self-care portal.

Product details

ADEX Cast

Energy forecasting and portfolio management platform with AI/ML-based production and consumption forecasting, automated scheduling and dispatching, trade optimization, and BESS EMS capabilities.

Product details

ADEX Trade

Energy market data and analytics platform providing up-to-date European market prices, weather and hydrology data, and visualization tools for informed trading decisions.

Product details

ADEX IoT

Comprehensive IoT platform with integrated EMS for real-time monitoring, control, and automation of energy assets, featuring local cloud-connected PPC, SCADA, and hardware edge infrastructure.

Product details

Case StudiesReferences & Success Stories

Centralized HPP management for Bulgaria's largest hydro energy producer

Energo-pro Bulgaria manages 14 hydropower plants with a total capacity of more than 150 MW. ADEX Energy provided an integrated, centralized energy management solution that enables real-time monitoring, automated management, and dispatching. The solution has reduced imbalance costs by 300%, allowing for more precise and timely scheduling, as well as near real-time balancing between all distributed power plants.

Read case study

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