Optimizing Cost Management and Energy Consumption in Power Plants Through Predictive Modelling

This paper analyses and interprets power plant billing and energy consumption data to find trends in fixed variable costs energy output and total revenue. This study aims to develop a statistical model that can predict future bill amounts. By reviewing past billing models this predictive model is designed to improve financial planning and optimize cost management within the energy distribution system. The findings provide valuable insights for energy companies, help them make informed decisions and improve operational efficiency in managing fixed and variable costs.