This paper presents a case study of more effective decision rules for the conformance assessment of electrical energy meters in private households in Norway, and proposes how to use a specific risk analysis in order to set the time for the next meter test. The MID regulation today prescribes conformance assessment of electrical energy meters based on ISO standards for attribute sampling where decision rules are purely statistical decision rules and economic consequences are not explicitly taken into account. The risk analysis we introduce calculates the risks involved for erroneous decisions, either rejecting a conforming batch of meters (the producer risk) or accepting a non-conforming batch (the consumer risk). The consumer risk is sensitive to the period until the next test which becomes a quality characteristic of each batch. This time interval can be optimized by balancing the consumer risk against the producer risk. When the quality drops, the period until the next test will need to become shorter. But at a certain level of quality, the energy net supplier would rather replace the complete batch, than continue testing at such short intervals.