Modelling Energy Data in a Generalized Additive Model—A Case Study of Colombia

Energy demand modelling is essential for reliable informing and framing energy policy decisions. More accurate betters ensuring availability of quality. related to access across the country defines important economic measures such as poverty, which plays a critical role in developing countries. quality reliability supply correctly estimating needs. To incorporate spatial temporal components way that are accurately assessed, this article discussed number suitable task methods (Second-generation GAMs with one-dimensional smoothers: Cyclic/Non-Cyclic Cubic Splines two-dimensional Markov Random Fields/Tensor Interactions). The results showed complete consideration both aspects leads better fitted model explains more data variation.