Energy Management App Development

Utilities, renewable energy operators, and industrial energy managers building management platforms need engineering teams who understand the specific data architecture of energy systems -- high-frequency meter data pipelines, generation event logging, battery state management, demand response dispatch, and the tariff and billing logic that connects consumption to revenue. Scrums.com provides dedicated software engineering teams for energy management app development, deploying production-ready systems with immutable meter reading ledgers, configurable alert and dispatch rule engines, TimescaleDB time-series pipelines, and the analytics infrastructure that measures energy balance, renewable penetration, and carbon intensity.

Energy Asset Registry, Metering, and Generation Data Architecture

The energy asset registry holds every asset with type (SOLAR_PANEL_ARRAY | WIND_TURBINE | BATTERY_STORAGE | TRANSFORMER | SUBSTATION | GRID_METER | EV_CHARGER | GENERATOR | HEAT_PUMP), capacity_kw, location_id, and commissioning_date; status follows OPERATIONAL -- DEGRADED -- OFFLINE -- MAINTENANCE -- DECOMMISSIONED with each transition appended to asset_status_events. Meter readings land in TimescaleDB hypertables: meter_id, reading_timestamp, energy_kwh (cumulative register), interval_kwh (computed delta), and quality_flag (MEASURED | ESTIMATED | SUBSTITUTED). Idempotency is enforced via ON CONFLICT DO NOTHING on (meter_id, reading_timestamp); ESTIMATED and SUBSTITUTED readings are flagged rather than replacing MEASURED rows -- when a confirmed MEASURED reading arrives for the same timestamp, it is written alongside the estimated row, and billing logic prefers MEASURED. Meter data validation runs against validation_rules_config (rule_type: RANGE_CHECK | SPIKE_DETECTION | MISSING_INTERVAL, parameters JSONB); failed validations write to meter_data_exceptions for review without blocking the ingest pipeline. Generation events record asset_id, generation_kwh, period_start, period_end, irradiance_w_m2 (solar), wind_speed_ms (wind), and performance_ratio (actual output versus theoretical output at conditions) -- append-only, feeding curtailment and degradation analytics.

Battery Dispatch, Demand Response, and Grid Integration

Battery state is captured in battery_state_events: asset_id, state_of_charge_pct, charge_mode (CHARGING | DISCHARGING | IDLE | STANDBY), power_kw, occurred_at -- stored in TimescaleDB; current state is always the latest event per asset, never a mutable field on the asset record. Charge dispatch rules in charge_dispatch_rules (rule_type: TOU_ARBITRAGE | PEAK_SHAVING | FREQUENCY_RESPONSE | SELF_CONSUMPTION | GRID_SERVICES, rule_config JSONB with thresholds, time windows, and priority) are config-driven; every dispatch decision writes a dispatch_events row referencing the rule that triggered it, preserving the full dispatch audit trail. Demand response events record program_id, event_type (NOTIFICATION_ISSUED | DISPATCH_SENT | RESPONSE_CONFIRMED | SETTLEMENT_COMPLETE), capacity_mw_committed, and capacity_mw_delivered; shortfall between committed and delivered writes to dr_shortfall_events for settlement penalty calculation -- all append-only. Grid import and export each append to their respective event tables (power flow direction, energy_kwh, grid_connection_point_id, occurred_at); a grid_energy_balance_by_period materialised view computes net import/export without a mutable balance field. Energy tariffs in energy_tariff_config (rate_type: FLAT | TIME_OF_USE | DYNAMIC | CAPACITY | DEMAND_CHARGE, rate_schedule JSONB, effective_from, effective_to) are immutable once published; billing always reads the tariff active at consumption time, so a mid-period tariff change cannot retroactively reprice prior consumption.

Energy Tariffs, Billing, and Revenue Analytics

Energy tariff rows in energy_tariff_config are immutable once published (rate_type: FLAT | TIME_OF_USE | DYNAMIC | CAPACITY | DEMAND_CHARGE, rate_schedule JSONB, effective_from, effective_to); new rows handle rate changes. Each billing_calculations row references the tariff_version_id active at billing_period_start -- consumption before a rate change is billed at the old tariff, consumption after at the new tariff, and both config rows are preserved so any calculation can be re-audited. Billing recalculations write new rows rather than overwriting prior calculations, preserving the full calculation history for dispute resolution. Tariff disputes follow a state machine (OPEN -- UNDER_REVIEW -- RESOLVED | ACCEPTED) and are never deleted; resolved disputes write dispute_resolution_events. Feed-in export credits are priced at the tariff active at export time, not the current tariff -- export_credits rows carry credit_rate as a stored value at the time of the export event. Revenue analytics materialised views include revenue_by_tariff_by_period, peak_demand_charge_by_account, export_credit_by_account_by_period, and billing_dispute_rate_by_tariff_type -- all recomputable from billing_calculations and tariff_dispute source events.

Sustainability Reporting, Carbon Accounting, and Energy Analytics

Carbon intensity factors are stored in carbon_intensity_config keyed by (source_type, effective_from/to); updating the grid mix writes a new config row. Each carbon_events row stores the carbon_intensity_gco2_per_kwh that was active at event time, so historical emissions are preserved as-recorded and the materialised carbon footprint view always reflects the intensity factor that was actually used. Renewable energy certificates (REC | REGO | LGC) are tracked in renewable_certificates: issuing_body, mwh_certified, and status (ISSUED | RETIRED | EXPIRED); retirements write immutable retirement_events, and the original certificate record is never deleted. Sustainability targets (RENEWABLE_PCT | CARBON_INTENSITY | PEAK_DEMAND_REDUCTION) are stored in config; a sustainability_target_progress materialised view compares actual performance from source events against each target_value -- always recomputable. Analytics materialised views include energy_balance_by_site_by_hour, renewable_penetration_by_period, load_factor_by_asset, peak_demand_by_day, battery_cycle_count_by_asset, and grid_export_revenue_by_period -- all derived from append-only event logs.