A proposal to make Frankfurt am Main (Germany) carbon free by 2050 was written by Francisca Molina Moreno, Ivan Leiva Lopez, Gabor Szabo, and Davide Dapelo.
Their idea “is based on a virtual division of the city by areas attending to their production and consumption of energy and also their best option to include one or more energy harvesting system such a PV, Geothermal, Vertical Wind.” To handle timetable demand (dynamic demand) and production, prediction methods developed in the SPOTSeven Lab  are proposed. They write:
“It is therefore known that meteorological information is now available such as quantity of solar radiation, wind and speed direction and also power demand. Statistical methods (stochastic), will provide data source of weather prognosis’ algorithms that will estimate the meteorological parameters . By using technology that can automatically monitor and control the systems in a building by checking the local weather and adjusting climate control for example, energy costs can be reduced by as much as 15%…”
Time series plots of the test data range predictions generated by a method studied in .
The technical report for the energy transition in Frankfurt (“Make Frankfurt am Main carbon free by 2050”) is available for download here
 O. Flasch, M. Friese, K. Vladislavleva, T. Bartz-Beielstein, O. Mersmann, B. Naujoks, J. Stork, and M. Zaefferer. Comparing ensemble-based forecasting methods for smart-metering data. In A. Esparcia- Alc ́azar, editor, Applications of Evolutionary Computation, volume 7835 of Lecture Notes in Computer Science, pages 172–181. Springer Berlin Heidelberg, 2013. A preprint is available for download from the SPOTSeven page.
 Francisca Molina,Ivan Leiva Lopez, Gabor Szabo, and Davide Dapelo. A proposal to make Frankfurt am Main carbon free by 2050. Technical report for the energy transition in Frankfurt. DOI: 10.13140/2.1.1052.2403 Affiliation: Provadis School of International Management and Technology Frankfurt/Main, Germany