Consumption
Electricity demand forecast by region and industry, accounting for seasonality and growing industrial load.
Power system of Uzbekistan
AI platform for intelligent management of the energy flow
Energo Flow AI is a concept of an intelligent layer on top of the existing energy infrastructure: from data to decision, from decision to result.
Forecast.Coordinate.Optimise.
About the project
A platform for forecasting, analysing and coordinating energy resources
The system brings together data on consumption, solar and wind generation, weather, smart meter readings, infrastructure condition and energy storage into a single picture.
Do not wait for an energy problem to appear — predict it and take the optimal decision in advance
Data sources
- Energy consumption
- Solar and wind generation
- Weather conditions
- Smart meters
- Grid infrastructure
- Energy storage
Problem
The country's power system is changing rapidly
- 01
Growing electricity consumption
- 02
Rising industrial load
- 03
Expansion of solar and wind generation
- 04
Dependence of renewables on weather
- 05
Growth of energy storage systems
- 06
High load on individual grid segments
- 07
Need for infrastructure modernisation
- 08
Energy losses in transmission and distribution
Approach
From production to coordination
The task is not only to produce more electricity, but to coordinate the entire energy flow efficiently.
01
Generation
02
Transmission
03
Storage
04
Consumption
Energo Flow AI acts as an intelligent layer on top of the existing energy infrastructure.
What AI does
Seven key functions based on unified data
- 01
Forecasts electricity consumption
- 02
Forecasts renewable generation
- 03
Detects anomalies and overloads
- 04
Predicts equipment failures
- 05
Optimises the use of storage systems
- 06
Determines the optimal distribution
- 07
Reduces peak loads and losses
Solution architecture
From data to decision
Data layer
Smart MetersConsumptionSolar / Wind generationWeather
Energo Flow AI
ForecastingAnomaly DetectionOptimisationRisk Prediction
Decision Engine
Decision making
Control action
GenerationStorageConsumption
Forecasting
The core of the platform — predicting demand and generation before imbalance occurs
Renewable generation
Solar and wind output forecast based on weather conditions and meteorological data.
The forecast is calculated continuously and updated as new data arrives from sensors and weather stations.
Risks and anomalies
Early warning instead of reacting to an outage
Anomalies
Detection of deviations in consumption and generation that signal faults or losses.
Overloads
Early warning about potential overloads of individual grid segments.
Equipment failures
Prediction of likely infrastructure failures before an outage occurs.
Energy flow optimisation
The Decision Engine acts in three directions simultaneously
Storage
Optimal use of energy storage systems depending on the demand forecast.
Distribution
Determining the optimal distribution of consumption across regions and consumers.
Peak loads
Reducing peak loads and losses in transmission and distribution.
Outcome
An optimised energy flow at every stage — from generation to consumption
Fewer losses
in transmission and distribution
Sharper forecast
of demand and renewable output
Lower peaks
of load on the grid
Earlier signal
about risks and failures
Energo Flow AI
An intelligent layer above the power system of Uzbekistan
From data to decision, from decision to result.
Generation→Transmission→Storage→Consumption