Abstract
In this contribution the approaches that were developed in the European project SmartGuide are presented. Within its scope it is analysed how to address the challenges in planning and operating distribution systems resulting from the general transformation of the energy system, in particular concerning the development of generation and load. The paper presents four different methodologies and tools that facilitate the assessment of flexibilities and smart grid technologies for the reinforcement of European smart grids. Subsequently, the derivation of European planning guidelines by utilising the results of the tools is described.????

Abstract
The optical immersion clearing is an effective method to reduce light scattering in tissues, but to optimize each treatment, it is necessary to understand the mechanisms involved. Since these treatments are intended to be temporary, it is also important to know if the mechanisms involved are reversible. Various studies have been made to evaluate and characterize the mechanisms of optical clearing. In all cases studied, two major mechanisms were observed—the tissue dehydration and the refractive index matching mechanisms. Some particular studies have reported that the agents used in treatments also dissolve proteins and suggested that protein dissolution is also a clearing mechanism. All these mechanisms have been reported as reversible, both on ex vivo or on in vivo studies. We make an analysis on these studies and present a method based on ex vivo collimated transmittance and thickness measurements to characterize the major clearing mechanisms—tissue dehydration and refractive index matching. Although this method can only be made with ex vivo tissues, alternative measurements are suggested for in vivo characterization of the clearing mechanisms. © 2019, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
There is a large consensus on the importance of human behaviour on the energy performance of buildings. Energy policy orientations consistently take into account the importance of the building stock in the overall energy use by societies. Existing buildings are specially challenging, as reliable diagnoses are required to take appropriate action towards comfort and energy efficiency. Managers also play a determinant role in building performance, either on investment decisions in technology or on the building operation. Middle-out agents may determine effective energy use options and positively influence behaviours at both levels, top management and occupants. Interdisciplinary cooperation amongst members of research teams is required for energy-efficient building design, coping simultaneously with technological and behavioural issues and their interrelations, privileging occupant-centred approaches.

Abstract
Electricity markets are complex environments, which have been suffering continuous transformations due to the increase of renewable based generation and the introduction of new players in the system. In this context, players are forced to re-think their behavior and learn how to act in this dynamic environment in order to get as much benefit as possible from market negotiations. This paper introduces a new learning model to enable players identifying the expected prices of future bilateral agreements, as a way to improve the decision-making process in deciding the opponent players to approach for actual negotiations. The proposed model introduces a con-textual dimension in the well-known Q-Learning algorithm, and includes a simulated annealing process to accelerate the convergence process. The proposed model is integrated in a multi-agent decision support system for electricity market players negotiations, enabling the experimentation of results using real data from the Iberian electricity market.

Abstract
This work aims to develop an embedded system and mobile application within Internet of Things (IoT) context, which allow the evaluation of control techniques widely used in the industry, for both remote configuration and monitoring of environment inside storage silos in laboratory scale. The developed system contributes to the validation of the recent released KNoT meta platform and extends its application to agricultural area. Preliminary results for on-off and PID temperature control suggest its feasibility for remote transmission of setpoint data to local controllers and data acquisition for monitoring by a mobile application. © Springer Nature Switzerland AG 2019.

Abstract