There is a clear challenge to provide reliable cellular mobile service at remote locations where a reliable power supply is not available. In this regard, most of the time Ethiotelcom lost a million birr within a short period of time due to power interruption problem in off grid sites. Almost 80% of BTS equipment electric source is DC with the range of (45V-52V). For a sustainable and clean electricity production in isolated rural areas, renewable energies appear to be the most suitable and usable supply options. This paper presents Adaptive neuro fuzzy inference system (ANFISs) based Energy Management System (EMS) for Wind Turbine (WT), Photo Voltaic (PV), Battery and backup Diesel Generator (DG) hybrid configuration for a critical Ethiotelcom BTS site. The necessary design, simulation, and evaluation are carried using MATLAB software. A power flow control scheme is developed to regulate the power transaction from the wind and solar power sources as well as for the battery charging and discharging level. Based on the available velocity of wind, solar insolation and SOC of the battery, different modes of operation are selected automatically. The control strategy also considers the surplus load. For solar PV system A SPEIC (Single ended Primary Inductance Convertor) DC-DC convertor and low pass filter is design and model to adjust the range of DC voltage for PV system. SEPIC converter is used to overcome the limitation of conventional buck boost converter like inverted output, pulsating input current, high voltage stress which makes it unreliable for wide range of operation. The total load of the BTS is power of 3278KW with dailyenergy consumption of 54.968KWh, for this load designed 70 panels with a peak power of 280W polycrystalline silicon photovoltaic,4500W of wind power , 10KVA of Pramac generator and 6000Ah of batteries are connected integrally. The wind and the solar with in batteries handle the load individually. All source are connected in common Dc bus bar after converting to Dc source and auto,matically selected dueto avaliblity of source.The ANFISs controller design for MPPT with the input of change in voltage and power for both solar and wind. The batteries charge and discharge is controlled by PI controller. The economic analysis was also done using HOMER software. The fact that the renewable resources available at a given site are a function of the season of the year implies that the fraction of the energy provided to the load is not constant. Considering the non-linearity’s of the converters and the unpredictable nature of the renewable sources an advanced adaptive controller is designed and simulated. Key words: - ANFIS (Adaptive neuro fuzzy interface system), Modeling, Energy management System (EMS),MMPT Solar-Wind-Diesel energy system, SPEIC convertor.