The Niger Delta Power Holding Company has adopted artificial intelligence and machine learning technologies to predict equipment failures and improve the performance of its power plants as part of efforts to boost electricity generation and reduce operational downtime.
The Managing Director and Chief Executive Officer of NDPHC, Jennifer Adighije, disclosed this during an engagement with the Nigerian Economic Summit Group, where she highlighted how emerging technologies are transforming operations across the company’s generation assets.
According to a statement by the company on Sunday, Adighije said AI-driven predictive maintenance was enabling the company to identify potential equipment failures before they occur, allowing engineers to carry out timely interventions and minimise plant outages.
According to her, the deployment of AI and machine learning tools marks a shift from reactive maintenance to data-driven asset management, helping to improve operational efficiency and plant reliability.
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.”
