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Actran Student Edition Enhance your acoustic learning and education programs Actran Student Edition offers students and educators computational acoustic simulation capabilities comparable to those used in various industrial sectors in an accessible format ideal for teaching and home study/self-learning purposes. Actran Student Edition and its supporting materials include both a theoretical background on key acoustic phenomena and a step-by-step description of the modeling process. This description begins at setup of the numerical mode and continues through running the simulation to interpreting the results. Another key part of the tutorials is to show the link between simple Actran models and the real industrial applications based on the same simulation principles. This highlights the value of acoustic simulation in today’s complex industrial environments. Get started today! Download the free Actran Student Edition and tutorials here! Stay tuned! Join the Actran Student Edition users’ group on LinkedIn and exchange with your peers: best practices, tips & tricks, tutorials, etc. Join here. Jean-Pierre Coyette & Jean-Louis Migeot, Professors and Founders of FFT

Forecasts in the energy sector With the transformation of the energy system and the expansion of renewable energy, it is becoming increasingly important to be able to estimate reliably the constraints of portfolio management. Customers’ needs regarding heat or gas and the expected volume of power generated from proprietary wind or PV installations must be forecasted. In addition, the price expectations in the various markets must be calculated in advance using suitable methods so as to make the right decisions in the right market channel. Brief description of BoFiT Forecast BoFiT Forecast allows you to create forecast models for any application and to implement them in your processes. Forecasts are fully integrated in time series management and in the runtime environment. In addition to simple profile procedures (standard load profiles, temperature-dependent load profiles, user-defined profiles) load profile extrapolation, regression procedures, artificial neural networks and...