The predicted mean vote (PMV), a widely adopted thermal comfort standard model, incorporates an extension factor to enhance its capacity for explaining thermal adaptations. Nevertheless, the original extended PMV (ePMV) fails to address thermal adaptations near thermal neutrality, leading to prediction deviations in this critical zone and consequently compromising accuracy for neutral-range thermal sensation. Recognizing the paramount importance of this sensation range for energy-efficient indoor comfort delivery, this chapter enhances the ePMV through introduction of a thermal neutrality factor. Specifically, both the extension factor and thermal neutrality factor are formulated as explicit functions of field datasets (PMV, thermal sensation vote (TSV), and ambient temperature). Validation demonstrates 73% maximum improvement in prediction accuracy—particularly within the TSV range of -0.5 to 0.5—achieved by reducing thermal neutrality deviation across global building types and climates. Furthermore, the explicit formulation ensures practical applicability.