Our Core Capabilities
Comprehensive solutions for power sector data challenges
Key Capabilities
1
Grid Communication Protocols
- •IEC 61850 - Substation automation and communication
- •DNP3 - SCADA master/outstation communication
- •Modbus - Legacy device integration
- •IEEE C37.118 - Synchrophasor data streaming (PMU/PDC)
- •TASE.2/ICCP - Inter-control center communication
2
DER & Demand Response
- •IEEE 2030.5 (SEP 2.0) - Smart Energy Profile for DER interoperability
- •OpenADR - Automated demand response signaling
- •SunSpec Modbus - Solar inverter and storage integration
- •OCPP - EV charging station communication
3
Enterprise & Industrial Integration
- •OPC UA - Industrial asset data exchange
- •MQTT - IoT device connectivity
- •REST/GraphQL APIs - Modern web service integration
- • Custom protocol translation and gateway development
4
System Integration Services
- • Multi-vendor equipment integration
- • Legacy system connectivity and modernization
- • Real-time and historical data aggregation
- • Northbound/southbound interface development
- • Data normalization and semantic mapping
Technologies & Standards
IEC 61850DNP3ModbusIEEE C37.118TASE.2/ICCPIEEE 2030.5OpenADRSunSpecOCPPOPC UAMQTTREST/GraphQL APIs
Key Capabilities
1
Time-Series Data Platforms
- • High-frequency telemetry processing (PMU, SCADA, smart meter data)
- • Time-series database design (InfluxDB, TimescaleDB, QuestDB)
- • Data lake and lakehouse architectures
- • Stream processing (Apache Kafka, Flink, Spark)
- • Batch processing for historical analysis
2
Data Quality & Governance
- • Data validation, cleansing, and error detection
- • Schema evolution and metadata management
- • Data lineage and provenance tracking
- • Access control and security frameworks
- • Regulatory compliance (NERC CIP, data privacy)
3
ETL/ELT Development
- • Multi-source data integration pipelines
- • Real-time and batch data workflows
- • Data transformation and enrichment
- • Automated data quality monitoring
- • Incremental processing and change data capture
4
Deployment Architectures
- • Cloud-native platforms (AWS, Azure, Google Cloud)
- • On-premises and air-gapped deployments
- • Hybrid and edge computing architectures
- • Containerized applications (Docker, Kubernetes)
- • Serverless and event-driven architectures
Technologies & Standards
InfluxDBTimescaleDBQuestDBApache KafkaApache FlinkApache SparkDockerKubernetesAWSAzureGoogle Cloud
Key Capabilities
1
Predictive Analytics
- •Load forecasting - Short, medium, and long-term demand prediction
- •Renewable generation forecasting - Solar and wind with weather integration
- •Price forecasting - Energy market price prediction and volatility
- •Equipment failure prediction - Asset health analytics
- •Demand flexibility estimation - Behavioral modeling and DR potential
2
Detection & Classification
- •Anomaly detection - Equipment health, cyber threats, power quality events
- •Event classification - Fault detection, outage identification, alarm correlation
- •Pattern recognition - Load profiling, usage segmentation, theft detection
- •Grid state estimation - Real-time monitoring and situational awareness
3
Optimization & Decision Support
- •Dispatch optimization - Generation, storage, and flexible load scheduling
- •Network optimization - Voltage control, loss minimization, hosting capacity
- •Resource planning - DER siting, grid investment, capacity expansion
- •Market bidding strategies - Energy and ancillary services optimization
- •Scenario analysis - What-if modeling, sensitivity analysis, risk assessment
4
Advanced Analytics
- • Statistical analysis and trend identification
- • Correlation analysis across multiple data sources
- • Causality analysis and root cause identification
- • Time-series decomposition and forecasting
- • Spatial analytics and geospatial intelligence
Technologies & Standards
PythonTensorFlowPyTorchScikit-learnApache SparkMLflowStatistical AnalysisTime-series ForecastingGeospatial Analytics
Key Capabilities
1
Operational Dashboards
- •Real-time grid monitoring - SCADA displays, dispatch, system frequency/voltage
- •DER fleet management - Aggregated visibility across distributed assets
- •Market operations - Real-time and day-ahead prices, congestion, settlement
- •Alarm and event management - Contextualized alerts with drill-down
2
Geospatial Visualization
- •Grid topology displays - Network diagrams with real-time asset status
- •Outage and impact visualization - Customer impacts, restoration priorities
- •Asset mapping - Equipment location, service territory, environmental overlays
- •DER and EV integration - Hosting capacity, interconnection queues
3
Historical Analytics & Reporting
- •Trend analysis - Long-term performance, seasonal patterns, comparisons
- •Compliance reporting - NERC reliability metrics, regulatory submissions
- •Asset performance - Equipment utilization, efficiency, health scoring
- •Customer analytics - Load research, segmentation, program evaluation
4
Executive & Business Intelligence
- •KPI dashboards - Financial, operational, and strategic indicators
- •Market intelligence - Price trends, competitive benchmarking
- •Scenario comparison - Planning alternatives, investment trade-offs
5
Engineering & Planning Tools
- •Engineering analysis interfaces - Power flow, constraint analysis
- •Planning study tools - Load growth scenarios, DER impact studies
- •Commissioning and diagnostic tools - Device configuration, testing
6
Visualization Technologies
- • Interactive web dashboards (Grafana, Apache Superset, custom React)
- • Mobile applications for field operations
- • Embedded HMIs for control systems and devices
- • API-driven visualization for third-party integration
Technologies & Standards
GrafanaApache SupersetReactD3.jsTableauPower BIMobile AppsREST APIs
Key Capabilities
1
- •CIM (Common Information Model) - implementation for grid asset modeling
- •Digital twin development - Equipment, substations, DER fleets, grid segments
- •Ontology design - Domain-specific knowledge representation
- •Grid topology modeling - Network connectivity, power flow relationships
- •Asset lifecycle modeling - Engineering, operations, maintenance integration
- •Simulation frameworks - Hardware-in-the-loop, scenario testing
Technologies & Standards
CIMIEC 61970IEC 61968Digital TwinsOntology DesignSimulation Frameworks
Key Capabilities
1
- •Data anonymization - for customer and operational data
- •Differential privacy - implementation for aggregate analytics
- •Secure multi-party computation - for cross-organizational data sharing
- •Encryption and access control - frameworks
- •Cybersecurity features - meeting NERC CIP and IEC 62351 requirements
- •Audit logging and compliance - reporting
Technologies & Standards
NERC CIPIEC 62351EncryptionAccess ControlDifferential PrivacySecure Multi-party Computation
