Large-scale energy projects, including renewable and conventional energy infrastructure, require effective financial optimization and budget management to ensure their long-term viability and economic sustainability. Given the complexity of financial planning in these projects, a strategic framework that integrates advanced financial modeling, risk assessment, and cost-control mechanisms is essential. This study presents a conceptual framework for financial optimization and budget management in large-scale energy projects, emphasizing cost efficiency, risk mitigation, and financial sustainability. The proposed framework is structured around three key components: financial forecasting and cost modeling, risk assessment and mitigation strategies, and budget monitoring and optimization techniques. Financial forecasting employs data-driven models, including machine learning algorithms, to enhance the accuracy of cost estimation and revenue prediction. Risk assessment integrates Monte Carlo simulations and sensitivity analysis to evaluate financial uncertainties such as fluctuating material costs, regulatory changes, and currency exchange rate volatility. Budget monitoring and optimization techniques leverage real-time financial dashboards, blockchain-based smart contracts, and key performance indicators (KPIs) to improve financial transparency, accountability, and adaptive budget management. A major advantage of this framework is its ability to dynamically adjust financial strategies based on real-time economic conditions, ensuring cost-effectiveness and minimizing financial overruns. Moreover, the inclusion of sustainability-driven financial mechanisms, such as green financing, carbon credit trading, and incentive-based funding, strengthens the economic resilience of energy projects in an evolving global energy market. By applying this framework, project managers and financial analysts can optimize budget al locations, enhance cost control measures, and improve financial decision-making processes in energy project management. The study highlights the significance of integrating financial technology (FinTech) solutions, predictive analytics, and sustainable investment strategies to drive financial efficiency in large-scale energy projects. The findings contribute to the broader discourse on financial sustainability in energy infrastructure and provide practical insights for policymakers, investors, and industry stakeholders aiming to maximize returns while ensuring project completion within financial constraints.