Solving the inverse heat conduction using Tikhonov regularization requires the selection of an optimal smoothing parameter. One popular method for choosing the smoothing parameter is the generalized cross-validation method. This method works very well but is computationally expensive. In this paper we investigate the L-curve method for selecting an optimal smoothing parameter. This L-curve is easily computed and may prove very useful for large systems which preclude other methods.