Every ten generations of data are collected, and the agent loads the data with a batch size of 128 from the buffer for learning. The learning rate is 10−410−4, and the size of the hidden layer of the neural network is [256,256,64][256,256,64]. Since computation offloading is ...
The main objective of this method is the simplification of building data extraction and the rapid generation of city district models to perform simulations of space-heating loads on an urban scale. Karantoumanis and Ploskas presented a study [26] on the estimation of power consumption in data ...
Local Electricity Markets were virtually created in [47] by mixing complementary loads and renewable profiles and clustering the prosumers orders based on prices. Moreover, the bigger the community and renewable sources are, the higher the potential of cost saving is. There are trade-offs for ...
Due to the number of possible implementations for a given task, it can quickly become impractical to provide a comprehensive list, however the implementations presented in Table 5 represent good indication of the computational loads expected for this application. Table 5. UAS tasks for the case ...