The purpose of micro-generation regulation is straightforward: to allow customers to generate their own electricity—typically through renewable sources—to offset part or all of their annual energy consumption.

In reality, most customers are also focused on financial outcomes—tracking return on investment, shortening payback periods, and maximizing summer credits to offset winter usage.

This article reflects my personal perspective on how to optimize that outcome.

For micro-generation systems under 150 kW, retailers must credit exported electricity at the same rate they charge for electricity consumption.

Important distinction:

• Commodity (energy) charges apply to both import and export

• Distribution, transmission, and other fees apply only to consumption

For simplicity, we’ll focus only on commodity pricing.

If you are on either a high rate or a low rate, that rate applies equally to both the energy you consume and the energy you export.

Most residential customers have cumulative meters, meaning usage and generation are netted over a billing period.

This creates a key dynamic:

• If your total consumption exceeds your generation during the billing interval → a low rate is more beneficial
• If your generation exceeds consumption → a high rate is more beneficial

Some may wonder whether an interval meter allows more flexibility (e.g., switching between day/night rates). Unfortunately, it does not. With an interval meter, you are treated as a large micro-generator and settled at the pool price per interval, rather than at fixed high/low rates.

Many prosumers (consumers who export their energy to the grid) rely on apps, weather forecasts, and perceived real-time data to decide when to switch rates.

This is where things go wrong.

Retailers do not operate on real-time data. Billing depends entirely on metering data provided by distribution companies, which is:

• Delivered after the fact

• Based on metering intervals, the timing of which varies

• Not aligned with calendar months or weather patterns

This leads to a critical insight:

It’s not billing cycles that matter — it’s metering intervals.

Every financial outcome is determined by when the meter reads open and when it closes. That is the only point where your true net position—generation versus consumption—is known.

Consumption and generation are handled very differently:

• Consumption is profiled using the distributor’s load shape (hourly system-wide usage patterns)

• Generation has no standardized solar profile for small systems

Why?

• Solar output varies significantly across locations, system sizes, and orientations
• Weather conditions differ across the province

As a result, retailers spread your generation evenly across the entire metering interval.

In other words:

From a billing perspective, your solar production is treated as flat across a generation period; it is not tied to sunny days.

Let’s take April as an example:

• Consumption: 1000 kWh
• Export: 850 kWh
• Low rate: $0.0599 kWh
• High rate: $0.35 kWh

Based on sunny forecasts, you switch to the high-rate mid-April, expecting a credit of $8.42

But your actual metering interval runs from the 1st to the 1st.

Because billing is based on that full interval—not your forecast—the result is:

• Instead of an $8.42 credit → a $0.56 charge

• Net difference: $8.98 loss

If you failed to switch rates at all, the impact could be as high as $43.51.

An automated rate-switching solution removes all of this guesswork—but only if it is built around the right principle.

A truly optimized system does not rely on forecasts or user input. It aligns directly with how the market actually settles your energy usage.

Optimization occurs with every new meter reading – for both usage and production.

Each time a metering interval closes, the system has complete and accurate data. That is the exact moment when the optimal rate decision can be made—and where value is either captured or lost.

When implemented correctly:

• It optimizes at every metering interval, not on arbitrary billing dates

• It uses actual settlement data, not weather forecasts

• It eliminates timing errors caused by manual switching

There’s no need to:

• Monitor apps

• Track weather

• Try to predict outcomes

• Under-optimize by reviewing data limited by billing periods

The result is consistent, fully optimized performance—because it is aligned with the only thing that truly matters - how and when your energy is measured.

• Weather forecasts do not align with billing calculations
• Manual switching often reduces performance
• True optimization happens based on automation around meter reads not billing periods and not manual switching

There is no need for complex predictions or constant monitoring.

The most effective approach is not about reacting to the market—it’s about aligning with it.

When optimization is tied directly to metering intervals, every billing outcome is maximized automatically.

SMART SOLAR —precision where it actually counts!