Energy Intelligence

Turn energy volatility into an operational advantage.

Energy prices move every hour — from expensive peaks to very low and sometimes negative prices. Energy Intelligence helps industrial plants predict these changes and make production, purchasing, generation and storage decisions when they create the most value.

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Energy Intelligence Brief.pdf

Energy volatility creates opportunity

Energy markets are volatile, but their daily and seasonal patterns are increasingly predictable.

InAnalytics combines market forecasts with production plans, plant constraints and utility data to identify:

the lowest-cost hours to consume or purchase energy,
expensive periods when demand should be reduced,
the best time to charge and discharge energy storage,
when CHP generation is more profitable than grid power,
how to use on-site PV without wasting available energy,
how each decision affects production cost and margin.

Energy Price Forecast

Energy Intelligence models forecast energy prices for the coming days and across the entire year.

High accuracy and precise identification of price peaks and low-cost windows provide a reliable foundation for planning, operational decisions and automated control algorithms.

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Move Flexible Production to Lower-Cost Hours

Build an annual energy strategy around seasonal price patterns, production forecasts and contracted energy.

Then update the plan every day using day-ahead prices, weather forecasts, expected PV generation, plant demand and asset availability.

Energy Intelligence continuously answers:

How much energy should we buy tomorrow?
Which loads can be moved to cheaper hours?
When should storage be charged or discharged?
Should the CHP produce electricity, heat or both?
When should production use grid power, PV or stored energy?
What is the financial impact of each scenario?

Plan the year. Optimize every day.

Energy Intelligence identifies each plant’s energy flexibility and optimizes its consumption profile hour by hour—unlocking 8,760 (365x24) opportunities to save every year.

One decision model. From market to machine.

Energy Intelligence connects:

day-ahead, intraday, balancing and forward markets,
electricity, gas, heat, steam, water and compressed air,
production plans, equipment states and process constraints,
grid power, CHP, boilers, PV and energy storage,
weather, renewable-generation and demand forecasts,
contractual limits, distribution tariffs and capacity charges.
The result is one operational model linking energy prices directly with plant decisions.

Optimization that respects production reality

The cheapest hour is not always the best hour to produce.

InAnalytics evaluates every opportunity against real constraints:

minimum and maximum equipment load,
start-up and shutdown costs,
process continuity and production sequence,
buffer and storage capacity,
production targets and delivery dates,
quality and safety limits,
contracted power and tariff thresholds.

Recommendations are operationally feasible — not based on energy prices alone.

From monitoring to measurable savings

Traditional energy monitoring explains what has already happened.

Energy Intelligence shows what the plant should do next:

shift flexible demand away from price peaks,
use low or negative-price hours,
reduce peak-demand exposure,
optimize energy purchasing,
coordinate grid power, CHP, PV and storage,
forecast energy cost and month-end results,
measure savings against the original operating plan.

Real Industrial Reference

Large energy-intensive industrial plant

Solution
Energy Intelligence for a real energy-intensive industrial plant

Industrial Load
40–50 MW

Optimization Scope

15-minute production and energy data
Day-ahead and balancing market integration
CHP, grid supply and production constraints
Energy-price forecasting and flexible-load optimization

Identified Potential

Millions of PLN in annual energy-cost optimization potential

Built on real industrial data

Energy Intelligence is powered by the InAnalytics Data Platform.

Connect PLC, SCADA, DCS, MES, ERP, historians, meters, SQL databases, files and external APIs using OPC UA, Modbus, M-Bus, REST and ODBC.

Use PostgreSQL and open analytics tools including Grafana, Power BI, Metabase and Looker Studio. Retain full control of your data, algorithms and deployment.