Energy Intelligence
Turn energy volatility into an operational advantage.
Connect energy markets, utilities and production data in one real-time decision system.
InAnalytics helps energy-intensive manufacturers understand how electricity, gas, heat and production interact — and act before energy costs affect the operating result.
Energy is no longer only a cost to report.
It is a variable that can be predicted, managed and optimized.
Energy prices change hour by hour. Production constraints, demand, weather, contractual limits and on-site generation change with them. Traditional energy monitoring shows what has already been consumed. Energy Intelligence connects these variables and shows what the plant should do next.
See not only how much energy you use, but:
- what it costs now,
- what it is likely to cost next,
- which processes are driving demand,
- when production can be shifted,
- how each decision affects output, cost and margin.
One energy picture. From market to machine.
Bring internal and external energy data into one operational model.
External conditions
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Weather observations and forecasts
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Grid demand and generation mix
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Renewable generation forecasts
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Calendar, shifts and production schedules
Production context
Production plans and actual output
Lines, processes, batches and products
Asset states, downtime and constraints
Energy intensity per tonne, batch or product
ERP, MES, SCADA, historian and laboratory data
Plant utilities
Electricity, natural gas, heat, steam, compressed air and water
Main meters and sub-metering
Power quality and peak demand- Boilers, CHP units, compressors and other utility assets
On-site generation and energy storage
Plant utilities
Electricity, natural gas, heat, steam, compressed air and water
Main meters and sub-metering
Power quality and peak demand- Boilers, CHP units, compressors and other utility assets
On-site generation and energy storage
From monitoring to decisions
Bring internal and external energy data into one operational model.
See the true energy cost
Combine consumption, contracted energy, market purchases, distribution charges and on-site generation to calculate the real cost of energy — continuously.
Understand what drives demand
Connect energy use with production, equipment states and operating conditions. Identify which processes, assets and products create peaks, losses and avoidable costs.
Forecast prices, demand and cost
Use historical patterns, current conditions and external forecasts to estimate future electricity and gas prices, plant demand and energy expenditure
Find the best operating window
Identify lower-cost hours and determine which energy-intensive operations can be moved without compromising throughput, quality or delivery commitments.
Coordinate generation and consumption
Optimize the mix of grid power, CHP, boilers, renewables and storage against production demand, fuel prices and technical constraints.
Measure every decision financially
Simulate operating scenarios and quantify their impact on energy cost, production output, margin and the expected month-end result.
Energy optimization that respects production reality
The cheapest hour is not always the best hour to produce.
InAnalytics evaluates energy opportunities together with the constraints that determine whether a change is operationally possible:
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minimum and maximum equipment load,
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start-up and shutdown costs,
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process continuity and sequence,
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buffer and storage capacity,
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production targets and delivery dates,
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quality and safety limits,
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contracted power and tariff thresholds,
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availability of CHP and other utility assets.
The result is a practical recommendation — not an isolated energy-price signal.
Decisions Energy Intelligence Answers
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Should an energy-intensive process run now or later?
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How much power should the plant purchase on the day-ahead market?
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When could balancing-market exposure become attractive or risky?
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Should the CHP unit generate electricity, heat, or both?
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Which production schedule minimizes total energy cost?
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What is causing today’s demand peak?
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Which line, product or batch has the highest energy intensity?
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How will weather affect demand, renewable generation and cost?
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What will the plant’s energy bill be at month-end?
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How will an operational change affect profitability?
Built for real industrial data
Energy Intelligence is powered by the InAnalytics Data Platform — an open platform for industrial data integration, analytics and automation.
Connect:
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electricity, gas, heat, water and flow meters,
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power analysers and energy monitoring devices,
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PLC, SCADA, DCS, MES and historians,
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ERP, SQL databases and ODBC sources,
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OPC UA, Modbus TCP/RTU and M-Bus,
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REST APIs, Excel, CSV, XML and JSON,
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energy markets, weather services and external forecasts.
Use PostgreSQL and open BI tools such as Grafana, Power BI, Metabase and Looker Studio. Keep full control of your data, algorithms and deployment — from a focused pilot to an enterprise-wide energy model.
Typical Energy Intelligence applications
Energy cost and market analytics
Live prices, forecasts, purchasing structures, distribution charges and total energy cost in one view.
Production energy intensity
Energy consumption and cost per tonne, batch, product, line, process or operating mode.
Peak-demand management
Early warning of power peaks, contracted-capacity risk and tariff threshold exposure.
Utilities performance
Efficiency analytics for boilers, CHP units, compressors, furnaces and other energy assets.
Flexible-load optimization
Identify and schedule movable loads in the most advantageous hours while respecting production constraints.
Forecasting and scenario simulation
Compare energy-market, weather, production and asset-availability scenarios before making a decision.
Energy anomalies and losses
Detect unexpected consumption, unstable operation, leaks, deviations and deterioration in asset efficiency.
ISO 50001 reporting
Maintain consistent energy KPIs, baselines, plan-versus-actual analysis and auditable reporting.
One-Day Energy Intelligence Assessment
In one day, we identify:
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the energy decisions with the greatest financial impact,
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the data already available in your plant,
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missing measurements and integrations,
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opportunities for forecasting and optimization,
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a practical pilot scope and recommended next steps.
Schedule an Energy Intelligence Assessment