The reliable and affordable supply of energy is a cornerstone for maintaining prosperity in Europe. Therefore, numerous published works propose models to predict a number of economically relevant energy parameters. This work deals with the data analysis of these forecasts. Attention is paid to the procedures dealing with building models and creating scenarios. A closer look at three models examines their specific calculation approaches. Concerning such scenario generation, several aspects need to be considered. Particular recommendations on the treatment of uncertainties and probabilities as well as the choice of suitable time spans within the scenarios are derived.Estimations on the expansion potential of renewable energy sources (wind power, PV and storage) are considered for the German energy market, for which the theoretical and technical-economic potentials are derived. Furthermore, a price forecast comparison of fossil fuel, natural gas, hard coal and lignite is performed. Prices taken into account are CIF-prices and prices at power plants. At European level, a comprehensive data analysis is carried out on 15 energy-economically relevant parameters including eight well-known publications. However, the forecast data presented in the outlooks is instructive concerning parameters linked to energy production and use of energy, the RES share, energy prices and economic and demographic development. Less detailed information was found in forecasts for electric grid expansion, storage requirements, the development of wages and construction costs, on CO2 prices and on supporting schemes for RES. Significant challenges are caused by different definitions of the area defined as "Europe" and differently implemented units used for energy and monetary terms.