Meteorological, operational and economic parameters related to locational marginal prices in the electricity market of Yucatan, Mexico

It is presented two datasets used to train models with artificial intelligence techniques to forecast electricity prices in the state of Yucatan, Mexico. The input parameters file contains data classified into four groups: regional (day of the year, time of the day, and load zone), meteorological (relative humidity, ambient temperature, wind speed, solar radiation), operational (electricity demand, electricity generation) and economic (natural gas price, diesel price). The output file corresponds to the locational marginal prices in the electricity market of Yucatan, Mexico. The data presented allows to understand the behavior of the parameters over time, in addition to the direct interaction with local marginal prices. The sample period corresponds from January 2017 to December 2018 with an hourly resolution. The information was collected from diverse Mexican government institutions and belongs to the three electricity distribution zones of Yucatan