Energy Consumption Monitoring Apps With IoT + Python
We build energy monitoring systems that turn raw meter data into clear, actionable insight.
See How We Build for Complex BusinessesEnergy usage directly impacts operating cost, sustainability goals, and asset performance. Without live data and clear analysis, teams react late to wastage, spikes, and inefficiencies instead of preventing them.
Who This Is For
We usually work best with teams who know building software is more than just shipping code.
This is for teams who:
Factories and industrial facilities
Commercial buildings and campuses
Enterprises tracking energy across departments
Smart buildings and infrastructure operators
This may not fit for:
Sites without digital meters or sensors
Teams looking only for manual reporting
Short-term pilots with no optimisation goals
Projects without access to energy data sources
the real problem
Energy costs stay high when usage is invisible
Many businesses still depend on manual meter readings or delayed reports. This hides peak usage, masks inefficient equipment, and makes it hard to explain energy spend. By the time issues are noticed, excess cost and waste have already occurred.
how this is usually solved
(and why it breaks)
common approaches
Manual meter readings and spreadsheets
Monthly or delayed energy reports
No alerts for abnormal consumption
Limited historical data for comparison
Where these approaches fall short
Hidden wastage and higher energy costs
Late detection of equipment issues
Poor planning and forecasting
Weak sustainability and compliance reporting
Core Features & Capabilities
01
Real-time energy data ingestion
Continuous collection of meter data from IoT devices and sensors.
02
Live usage dashboards
Clear charts and views for device, zone, and facility-level consumption.
03
Anomaly detection and alerts
Notifications for spikes, wastage, or abnormal patterns.
04
Historical analysis and trends
Compare usage over time to identify inefficiencies and improvements.
05
AI-based demand forecasting
Predicts future consumption to support planning and optimisation.
06
System and ERP integration
APIs to connect energy data with billing, reporting, and sustainability tools.
how we approach it
01
Assess meters, sensors, and data sources
02
Design scalable data ingestion and analytics pipelines
03
Build dashboards focused on operational decisions
04
Validate accuracy before rolling out alerts and forecasts
How We Build at PySquad
We design energy monitoring as an operational control system. IoT data, analytics, and dashboards work together so teams can see usage in real time, understand patterns, and act quickly.
outcomes you can expect
Lower energy costs through better visibility
Early detection of inefficiency and faults
Clear data for sustainability and compliance reporting
Stronger control over energy usage across facilities
Looking for similar solutions?
let's build yoursFrequently asked questions
We support Modbus, MQTT, LoRaWAN, Wi‑Fi meters, and custom gateways.
Yes. The platform scales across all environments.
Absolutely. You can monitor multiple facilities from one dashboard.
Yes, using smart plugs or device sensors.
Yes. Our models identify inefficiencies and predict demand to help reduce cost.
About PySquad
PySquad works with businesses that have outgrown simple tools. We design and build digital operations systems for marketplace, marina, logistics, aviation, ERP-driven, and regulated environments where clarity, control, and long-term stability matter.
Our focus is simple: make complex operations easier to manage, more reliable to run, and strong enough to scale.
Strategic Solutions in This Domain
Integrated platforms and engineering capabilities aligned with this business area.
have an idea? lets talk
Share your details with us, and our team will get in touch within 24 hours to discuss your project and guide you through the next steps