Artificial Intelligence: Awareness and Adoption for Effective Facilities Management in the Energy Sector

Abstract

Most sectors of the Nigerian economy, including the energy sec-tor, have been infiltrated by digital technologies, including artificial intelligence (AI), where they have been extensively investigated. The research aims primarily to assess the perception of AI in facility management and identify the prospects and challenges of the adoption of AI in the energy sector. The study adopted the quantitative methodology approach, using a structured questionnaire to a sample size of 384 respondents. The questionnaire was administered to professionals such as mechanical, civil, electrical, computer, and mechatronics engineers and project managers within the North-central geopolitical zone of Nigeria. Data gathered was analyzed using descriptive analysis (mean value, weighted total, and relative importance index). The study based on findings concludes that there is a high awareness level about AI in the energy sector. Also, awareness about some selected AI technologies, machine & deep learning, robotics, and speech recognition had a high awareness level. The study also concludes that improved energy management, efficiency and transparency, remote reading of energy meters, and improved planning, operation & control of power systems were prevalent prospects of AI adoption. The major challenging factors to adopting AI in the Nigerian energy sector are outdated power system infrastructure, cellular technologies, a scarcity of qualified experts and data scientists, and a growing threat from cyber-attacks. The study recommends improved awareness and technical know-how of energy sector personnel and adequate power system infra-structure to provide a stable power supply.