Comparative study of neighbor communication approaches for distributed model predictive control in building energy systems

Applying Artificial Neural Networks In Construction

“…Neural network technologies are widely used in tasks related to energy efficiency and energy consumption in buildings [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. First of all, ANN are used in the tasks of forecasting the loads on heating and cooling systems, electricity consumption and analysis of energy consumption [6,8,11,12,14,17,18,19].…”

“…Neural networks are used in tasks heating, ventilation and air conditioning [14,[21][22][23], for example for analysis and optimization of control systems of HVAC [23] and for rapidly predict non-uniform indoor pollutant concentration [21].…”

New Lattice-Based Broadcast Authentication Protocol for Wireless Sensor Networks

“…With the development of the industry and technological advances, distributed renewable energy sources are increasingly connected to the electricity Internet, bringing large challenges to the operation and management of wireless sensor networks [1][2][3][4][5][6][7][8][9][10][11][12][13]. Quantum computing will potentially enable ordinary computers to compute much more than they do today [14][15][16][17][18][19].…”

PARODIS: One MPC framework to control them all - Almost

“…Other frameworks are specialized in a specific field of application, e. g. robotics [3] or, commonly, building control [4], [5]. In this case, they usually employ more sophisticated MPC algorithms and might also feature co-simulation with simulation tools such as Modelica or EnergyPlus.…”