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Reducing costs, emissions, and improving efficiency in the electric power networks are becoming urgent. It is, therefore, necessary to apply improvements in the industry&#x2019;s operation, for example maintaining acceptable consumer&#x2019;s operational PF (<inline-formula> <tex-math notation="LaTeX">$PF_{opr}$ </tex-math></inline-formula>) gauged against reference PF (<inline-formula> <tex-math notation="LaTeX">$PF_{ref}$ </tex-math></inline-formula>), where penalties are levied on monthly averaged <inline-formula> <tex-math notation="LaTeX">$PF_{opr}$ </tex-math></inline-formula> below <inline-formula> <tex-math notation="LaTeX">$PF_{ref}$ </tex-math></inline-formula>. The efforts can be enhanced if based on interactive involvement and participation between consumers and services providers (SP&#x2019;s), mainly by fair implementation of penalties and incentives. Enticing consumer participation enables mutual benefits. The current treatment of PF in Saudi Arabia is based on average monthly measurements of consumers&#x2019; <inline-formula> <tex-math notation="LaTeX">$PF_{opr}$ </tex-math></inline-formula>. In this spirit, a novel mathematical model and framework are presented which consist of a time-referenced function relating applicable tariff to <inline-formula> <tex-math notation="LaTeX">$PF_{opr}$ </tex-math></inline-formula>, thus benefiting SPs by reducing capital and maintenance costs, providing flexibility to focus on peak load periods, and rewarding incentives to the consumers maintaining PF in an acceptable range. The model was implemented on measurements at four industrial facilities in the Eastern Province of Saudi Arabia for one year and the results were verified in terms of reduction in network&#x2019;s heat losses, CO₂ emissions, fuel consumption, and the resulting monetary benefits.