What Energy Management Actually Requires

What Energy Management Actually Requires
VRM (Victron Monitoring) forecast for "next 2 days". The modern horoscope.

Part 3 of the Smart Home Energy Management series. ← Previous: The Landscape

Beyond Automation: True Energy Intelligence

In the previous article, we surveyed the smart home landscape and identified a common gap: existing platforms treat energy management as an add-on, not a core function. But what would a system designed from the ground up for energy management actually need to do?

Let's define the requirements.

1. Forecasting: Know Tomorrow Today

Reactive systems respond to what's happening now. Intelligent systems anticipate what's coming.

Production Forecasting

  • Weather integration: Cloud cover, temperature, precipitation predictions
  • Panel-specific modeling: Orientation, tilt, shading patterns throughout the day/year
  • Historical correlation: Learn how your specific installation performs under various conditions
  • Horizon: Useful forecasts need 24-72 hour lookahead minimum

Consumption Forecasting

  • Pattern recognition: Weekday vs. weekend, seasonal variations, occupancy patterns
  • Event awareness: Scheduled loads (EV charging, water heating), calendar integration
  • Anomaly detection: Unusual consumption should trigger alerts, not just be recorded

2. Optimization: Making the Right Decisions

With forecasts in hand, the system must decide: What should happen and when?

Multi-Objective Optimization

Energy decisions rarely have a single "best" answer. The system must balance competing goals:

ObjectiveTrade-off
Minimize costMay increase grid dependency
Maximize autarkyMay waste potential export revenue
Maximize battery lifespanMay leave capacity unused
Minimize grid impactMay not optimize for household economics

Users should be able to set priorities, and the system should optimize accordingly—not just follow static rules.

Constraint Handling

  • Battery limits: SoC boundaries, charge/discharge rate limits, temperature constraints
  • Grid limits: Export caps, peak demand charges, time-of-use restrictions
  • Device constraints: Minimum run times, startup delays, power ranges

3. Control: Executing the Plan

Optimization means nothing without the ability to act.

Device Integration

  • Inverter control: Charge/discharge commands, export limiting, mode switching
  • Load management: Deferrable loads (dishwasher, washing machine, pool pump)
  • EV charging: Dynamic power adjustment based on solar availability
  • Thermal loads: Heat pumps, water heaters, HVAC—often the largest flexible loads

Protocol Support

Real-world installations use a zoo of protocols:

  • Modbus TCP/RTU
  • CAN bus (for battery BMS)
  • SunSpec
  • Vendor APIs (VRM, Fronius Solar API, etc.)
  • Smart home protocols (MQTT, Zigbee, Z-Wave)

4. Resilience: When Things Go Wrong

Energy systems must keep running when communications fail.

Graceful Degradation

  • Local autonomy: Core functions must work without cloud connectivity
  • Fallback strategies: Safe defaults when forecasts unavailable
  • Watchdog functions: Detect and recover from component failures

Edge Cases

  • Grid outage handling (island mode coordination)
  • Generator integration and automatic start
  • Battery protection during extreme conditions

5. Observability: Understanding What Happened

You can't improve what you can't measure.

Data Requirements

  • High resolution: 1-second data for power flows, minute-level for analysis
  • Long retention: Years of history for trend analysis and system sizing decisions
  • Derived metrics: Self-consumption rate, autarky, efficiency calculations

Visualization

  • Real-time dashboard with energy flows
  • Historical analysis tools
  • Forecast accuracy tracking
  • Cost/savings reporting

6. Multi-Site Capability

Many energy system owners have multiple installations:

  • Home + vacation property
  • Residential + commercial
  • Fleet management for installers

A proper energy management system should handle this natively, not as an afterthought.

The Gap

Compare these requirements against what current smart home platforms offer out of the box. The gap is substantial. Home Assistant can do many of these things—with enough custom development. But that's the point: energy management shouldn't require you to become a software developer.

This is why we built WHIP.

Next Up

In Part 4, we introduce WHIP—our approach to energy management that addresses these requirements from the ground up. → Introducing WHIP