Detailed analysis of energy, water, and fuel consumption patterns using utility bills, submeters, and tariff data.
Break down usage across electricity, diesel, and water meters to identify high-consumption zones and inefficient systems
Generate hourly, daily, seasonal load curves to understand peak demand periods and base load behavior
Simulate control statergies-like schedule optimization or load shifting-and estimate the impact on cost and energy use
Correlate utility data with ambient conditions to benchmark true performance and detect seasonal inefficiencies.
Operational diagnostics from live and historical Building Management System (BMS) data for HVAC and utility systems.
Monitor real-time COP, kW/TR, and delta-T to evaluate sequencing logic, overcooling, and runtime anomalies
Analyze wet bulb temperature trends to implement reset strategies and optimize fan speed modulation
Evaluate VFD commands, runtime deviations, and load-response mismatches to uncover unnecessary energy use
Assess air volume, temperature set points, and static pressure trends to fine-tune ventilation and avoid over-conditioning
Use command-status logic to detect sensor drift, stuck acutators, and inefficient staging in critical equipment
Compare actual system output(e.g., chilled water or airflow) to energy consumed to measure equipment effectiveness
Operational diagnostics from live and historical Building Management System(BMS) data for HVAC and utility systems
Track real-time and cumulative kWh generation to identify underperformance or inverter faults.
Differentiate self-consumed solra energy from grid exports to asess energy independence and load coverage
Verify tariff-based savings by matching export records with utility bills and net metering credits.
Model actual financial returns using generation data, degradation rates, and local tariff structures.
Performance validation and financial tracking of rooftop and on-site solar photovoltaic systems
Design robust systems that collect and harmonize data from smart meters, BMS/SCADA systems, and solar inverters via cloud or on-premise pipelines.
Develop rule-based and AI/ML enhanced logic to calculate key performance indicators such as COP, delta-T, kW/TR, energy-to-output ratios, and emission metrics.
Build custom dahboards for operations, energy, and sustainability teams featuring trend charts, alerts, and role-based KPIs in real-time.
Create systems that are adaptable across multi-site portfolios, with modular expansion for assets, standards, or data streams.
Looking for energy efficiency solutions?
These FAQs explain how our energy analytics platform identifies inefficiencies, interprets equipment data, and supports informed decision-making for better performance.
Utility bills, sub-meters, BMS data, and solar generation logs are unified for holistic insight.
Yes, our algorithms detect anomalies in load patterns and control logic.
Each client receives a tailored dashboard showing KPIs, alerts, and performance trends.
Yes, we track PV yield, performance ratio, and ROI to ensure optimal generation.
Monthly summaries with actionable insights and benchmarks.