Business Models in the Energy Sector

Authors

  • Md Naim Mukabbir Independent Researcher, Bangladesh Export Import Company Limited Author

DOI:

https://doi.org/10.32996/bjbms.2024.3.1.2

Keywords:

AI integration, energy management, operational efficiency, renewable energy, sustainability

Abstract

The integration of Artificial Intelligence (AI) in energy management is revolutionising the way businesses approach efficiency and grow The energy sector is undergoing a transformative shift as artificial intelligence (AI) technologies are increasingly integrated into business models to enhance operational efficiency, drive innovation, and create competitive advantage. AI-powered solutions in energy management, predictive maintenance, demand forecasting, and energy optimization are revolutionizing how energy companies operate and engage with consumers. This paper explores the various applications of AI in the energy industry, with a focus on how AI-driven business models foster innovation, reduce costs, improve sustainability, and enhance customer experience. Through case studies and industry examples, we examine how companies leverage AI to optimize resource management, enhance grid reliability, and offer personalized energy services. Furthermore, we discuss the challenges and opportunities associated with the adoption of AI in the energy sector, considering regulatory frameworks, data privacy concerns, and the need for skilled talent. Ultimately, the paper highlights the strategic importance of AI in driving long-term growth and sustainability in an increasingly competitive energy market.

Downloads

Download data is not yet available.

References

Downloads

Published

2024-04-10

How to Cite

Md Naim Mukabbir. (2024). Business Models in the Energy Sector. British Journal of Business and Management Studies, 3(1), 14-25. https://doi.org/10.32996/bjbms.2024.3.1.2