Analysis of simulation environment

In this paper the requirements for an ALN simulation environment are analysed, as needed in the CATNETS Project. A number of grid and general purpose simulators are evaluated regarding the identified requirements for simulating economical resource allocation mechanisms in ALNs. Subsequently a suitable simulator is chosen for usage in the CATNETS project. --CATNETS simulator,requirements analysis,simulator selection

ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems

Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness and harmonisation requires reproducible experiments and appropriately realistic testing environments. Such testbeds for multi-domain cyber-physical experiments are complex in and of themselves. This work addresses a method for the scoping and design of experiments where both testbed and solution each require detailed expertise. This empirical work first revisited present test description approaches, developed a newdescription method for cyber-physical energy systems testing, and matured it by means of user involvement. The new Holistic Test Description (HTD) method facilitates the conception, deconstruction and reproduction of complex experimental designs in the domains of cyber-physical energy systems. This work develops the background and motivation, offers a guideline and examples to the proposed approach, and summarises experience from three years of its application.This work received funding in the European Community’s Horizon 2020 Program (H2020/2014–2020) under project “ERIGrid” (Grant Agreement No. 654113)

Mixed Signals: Why investors may misjudge first time high technology founders

This paper seeks to explain an unexpected result of a previous quantitative study which suggested sub-optimal evaluation by investors of the human capital of first time high tech venture founders. A literature review revealed two possible reasons for this finding: biases/heuristics and signaling. Six investors across three countries (one venture capitalist and one business angel each from the US, UK and Israel) with experience in investing in early stage high technology ventures were interviewed using an identical semi-structured interview protocol. This research design is appropriate for research that seeks to reflect back unexpected findings of previous quantitative research on the subjects of research. Interviewees were first asked to state their own investment criteria, and then presented with the results of the quantitative study and asked for their views. Previous research suggesting a gap between in-use and espoused criteria, and extensive use of gut feeling in decision-making, was supported. Interviewees focused on harvest potential and de-emphasised measures of founder technology capability that predicted early survival and growth in the earlier study. The paper concludes by suggesting how investors might improve funding decisions in high tech ventures led by first-time entrepreneurs, noting the study's limitations and making recommendations for further research