Abstarct: Abstract Due to the high-scale energy consumption, and its high value in revenue of industries, energy resources investment in Industrial Parks is a serious issue. Industrial virtual power plant aggregating energy generation and consumption assets in the Industrial Park is a suitable solution to achieve an efficient energy management. In this thesis, energy resources investment in an industrial virtual power plant aims at increasing profit obtained from selling energy to industries and energy market. The problem of energy resources investment is modeled under the uncertainties of demand, renewable energy, energy market and fuel prices using deterministic optimization and risk-constrained stochastic programming approaches. The proposed methods are implemented on a 3-bus test network and Darab Industrial Park in Iran. The results show that the energy resources investment is not beneficial to Iran’s economic conditions, energy carriers subsidies, and the virtual industrial power plant incurs losses annually. by subsidies removal, after investing in gas turbine and renewable photovoltaic sources, the industrial virtual power plant has a significant profit. In stochastic planning baxsed on the risk index, the expected profit of the virtual industrial power plant from the risk-neutral state to the risk-averse state decreases by 7.5%, and the risk index increases by 62.27%, which shows the decrease in the expected profit and fluctuations related to it.