Smart community design provides a low-cost solution for user comfort and renewable energy integration. ??
M. MAHAD MALIK, PHD(Power Engg)(Ongoing), MS(EPE), BS(ECE)
Smart Cities | Smart Grid Energy Analytics | ML/AI for Power Systems | Technical Writer | Sustainability
There are limitations to achieving all the objectives mentioned above simultaneously.
The proposed framework addresses these limitations by providing a unique and state-of-the-art solution.
The algorithm used and working:???
The proposed smart community setup incorporates,
?? A multi-agent system?
?? Connected communities and duplex communication signals.
?? A smart HVAC thermostat
?? Algorithms application
?? Python Agent Development Environment and MATLAB.?
Day Ahead and Real Time signals are incorporated among multi-hierarchical structures identified to achieve optimum results.
Achievements and obtained results: ??
? The optimized model has a multilayered controller-based hierarchical structure that shares information a day ahead and in real time, making it efficient and good at using power.
? With a given objective function, P-PSO, PPnP, and knapsack are used to get the best results regarding price, efficiency, user comfort, and the effect of heavy loads on the thermostat and helping to achieve:
?? Robust and optimal communication model with enhanced reliability.
?? The unpredictability and dynamism of consumption and pricing patterns are optimized.