This deliverable is the summary of the preparation work of the first demonstration period of the project which covers the first period of the cooperation. The major aim of this period was to lay down the basis of the work package and to determine the possible power lines for the demonstration periods with a multi-criteria system. The multi-criteria system developed by BME was applied for the cross-border and most loaded internal lines of each TSO. During the investigation, the historical load levels of the transmission lines, the limiting elements in the substations, historical events (e.g.: icing events) and the strategical viewpoints, such as the role of the lines during congestion management, or lines performance from the grid density point of view, had been considered. After the demonstration power line selection, the next step was to determine the exact location of the sensors on the lines. For this purpose, first of all a sag clearance simulation was performed for the selected lines. During the simulation, the position of the bottom phase conductor was determined by catenary curve approximation. Then, the terrain profile and the different objects (e.g. crossways, buildings, railways, etc.) under the line were modelled, based on which the clearance reserve along the line route was determined. On the other hand, other influencing factors were also considered, such as the accessibility of the critical spans, the GSM network coverage, and the applied working method. Furthermore, TSOs needed to prepare to build up and procure the necessary hardware and software environment for the applied systems. To accomplish this, proper specification of hardware and software components have been defined and the necessary IT scheme and interface background was also approved. Each TSO following the general concepts procured the equipment independently. Last, but not least, the preparation of the grid management system has also been performed in this project period. For this, the system operators collected the necessary historical load and in some cases weather data. With this data, not just the power line selection, but also the better understanding of the antecedents of the power lines is possible, not to mention the fine-tuning of the calculating algorithms.