Wolf Fichtner

TL;DR: In this article, consumer reactions to a fully furnished and equipped smart home are analyzed using focus groups (four groups with a total of 29 participants) and the analysis looks at consumer perceptions of and reactions to an energy management system which optimizes electricity consumption based on different ICT solutions.

TL;DR: In this article, a methodology based on artificial neuronal networks (ANN) is presented to forecast electricity prices, which leads to well-fitting electricity price forecasts, whereas forecast errors are as low as or even lower than other forecast models for electricity prices known from the literature.

TL;DR: In this paper, the authors analyse public acceptance of energy infrastructure and its main drivers on local vs. national levels using a nationally representative survey and find that, on a national level, the acceptance of RES is very high and there is also a high acceptance of grid expansion if it helps to increase the share of RES in the system.

TL;DR: In this paper, the authors discuss four assessment methods (average annual electricity mix, average time-dependent electricity mix and marginal electricity mix) and analyze the corresponding CO₂ emissions for Germany in 2030 using an optimizing energy system model (PERSEUS-NET-TS).

TL;DR: A detailed review of agent-based modelling and simulation techniques for analyzing smart grids from a systems perspective can be found in this article, where a general classification of applying agentbased modeling techniques to electricity systems is provided.