Abstract
During the transformation process of the energy supply system particularly the electricity networks need to be reinforced in the upcoming years. During network planning this can be achieved efficiently by considering innovative technologies and measures as well as by exchanging experiences at European level. This article presents developed methods and tools to derive European planning guidelines for distribution grids. In addition the first preliminary guidelines are introduced. They are based on the different challenges considered in the planning as well as the demonstrated operational capability of innovative technologies and measures. An increase of the feed-in by renewable energy resources as well as the consumption by electric vehicles is taken into account.

Abstract
After making an overview on the most recent progresses regarding the optical immersion treatment technique, we use this chapter to look to the future and perspectives of the following developments and benefits that can be achieved. The increasing number of publications on OC in the last 30 years, which we present in Sect. 9.1, indicates that this is a promising method to aid in the application of optical techniques in clinical practice for diagnosis or treatment purposes. Since several spectroscopy, fluorescence, or imaging methods have recently been used to test and validate the OC effects in various human and animal tissues, a collection of OCAs and OC protocols have been developed. Section 9.2 shows that to get even better results in tissue OC, the discovery of new agents and establishment of new protocols is a work in progress. Section 9.3 indicates the future perspectives for tissue spectroscopy during OC treatment and that the potential of the refractive index matching mechanism can also be evaluated in the ultraviolet range. Section 9.4 discusses the future perspectives of tissue imaging and OC. The establishment of new and faster OC protocols for tissue imaging is suggested, and indication for the necessary efforts to adapt the light-sheet technique to image in vivo is also made. Finally, Sect. 9.5 presents other applications of tissue OC and suggests the cooperation between research fields to increase knowledge in the use of OCAs and their benefits for each field. © 2019, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
Due to the increment of the energy consumption and dependency of the nowadays lifestyle to the electrical appliances, the essential role of an energy management system in the buildings is realized more than ever. With this motivation, predicting energy consumption is very relevant to support the energy management in buildings. In this paper, the use of an energy management system supported by forecasting models applied to energy consumption prediction is demonstrated. The real-time automatic forecasting system is running separately but integrated with the existing SCADA system. Nine different forecasting approaches to obtain the most reliable estimated energy consumption of the building during the following hours are implemented.

Abstract
Microscopic simulation requires accurate car-following models so that they can properly emulate real-world traffic. In order to define these models, calibration procedures can be used. The main problem with reliable calibration methods is their high cost, either in terms of the time they need to produce a model or due to high resource requirements. In this paper, we examine a method based on virtual driving simulation to calibrate the Krauß car-following model by coupling the Unity 3D game engine with SUMO. In addition, we present a means based on the fundamental diagrams of traffic flow for validating the instances of the model obtained from the calibration. The results show that our method is capable of producing instances with parameters close to those found in the literature. We conclude that this method is a promising, cost-efficient calibration technique for the Krauß model. Further investigation will be required to define a more general approach to calibrate a broader range of car-following models and to improve their accuracy. © 2019 EUROSIS-ETI.

Abstract

Abstract
One of the greatest challenges of power system planners is to incorporate the expected growth of Distributed Generation (DG) in operation and expansion studies, while modeling and understanding its impacts. This paper describes and compares the outcomes of two different methodologies to model the impact of the growth of DG using concepts of the Bass theory of diffusion. We are applying both Fixed Adoption and System Dynamics models using public data and the tariff scenarios proposed in a public consultation developed by the Brazilian Electricity Regulation Agency. The results indicate that the System Dynamics approach can be more suitable to conduct this analysis, since it does not have discontinuities. Additionally, the model and numerical results that are obtained can be used to help the regulatory agency to better design tariff schemes in the public consultation process.