The Niger Delta Power Holding Company has deployed artificial intelligence and machine learning technologies to enhance the efficiency of its power plants by predicting equipment failures and reducing operational downtime, as part of efforts to increase electricity generation.

The Managing Director and Chief Executive Officer of NDPHC, Jennifer Adighije, disclosed this during an engagement with the Nigerian Economic Summit Group, where she outlined how the company is leveraging emerging technologies to improve operations across its power generation assets.

According to a statement issued by the company on Sunday, Adighije said the adoption of AI-powered predictive maintenance enables NDPHC to detect potential equipment faults before they occur, allowing engineers to carry out proactive repairs, minimise plant outages, and improve overall operational reliability.

Adighije said the deployment of artificial intelligence and machine learning technologies represents a transition from reactive maintenance to data-driven asset management, enabling the company to improve operational efficiency, enhance plant reliability, and optimise the performance of its generation assets.

She said, “Artificial intelligence and machine learning are no longer futuristic concepts; they are practical tools transforming how we manage power infrastructure. At NDPHC, we are leveraging AI-driven predictive maintenance to anticipate equipment failures before they happen, enabling timely interventions that reduce downtime and improve plant availability.”

She explained that the company is integrating intelligent systems into its operations to analyse large volumes of operational data, optimise maintenance schedules, and support faster, more informed decision-making across its power plants.

Adighije noted that digital technologies have become essential to modern power systems, stressing that NDPHC remains committed to adopting global best practices to improve operational efficiency and strengthen Nigeria’s electricity value chain.

“By harnessing data analytics and machine learning algorithms, we can optimise maintenance schedules, improve operational efficiency, and extend the lifespan of critical generation assets. This is essential for delivering more reliable electricity to Nigerians,” she said.

The NDPHC boss added that beyond predictive maintenance, artificial intelligence has the potential to enhance demand forecasting, optimise grid management, and drive energy efficiency initiatives, making power generation and distribution more reliable and cost-effective across the electricity sector.

Adighije stressed that the successful deployment of digital technologies would require sustained investment in infrastructure, human capacity development, and stronger collaboration among government agencies, private sector operators, and research institutions.

She reaffirmed NDPHC’s commitment to innovation, stating that the company would continue adopting advanced technologies to enhance operational efficiency, improve power generation performance, and support Nigeria’s long-term energy security objectives.