Abstract: This work proposes a scenario-based multi-energy microgrid investment planning (MMIP) model to determine the optimal mix, size and placement of electrical and heat generators for minimizing overall investment and operation cost over the planning horizon. The proposed integrated design approach, based on linear power flow and heat transfer equations, captures the interplay between electrical and heat generators. An uncertainty matrix, based on the heuristic moment matching method, is integrated within the planning model to tackle the operational uncertainties of wind and photovoltaic generation, and electricity demand. The effectiveness of proposed model is confirmed through a case study in a 19-node microgrid test system.