Artificial neural network modeling of geothermal district heating system thought exergy analysis

Effect of reference state on the exergoeconomic evaluation of geothermal district heating systems

“…Also, these equations were used by some earlier researchers (e.g., [21][22][23][24][25][26][27]). For the Afyon GDHS, the mass balance equation is written as follows:…”

“…The system operation is described based on Refs. [21][22][23][24]. In the Afyon GDHS, the required mass flow rates according to the changing conditions (especially ambient temperature) in the system are controlled manually.…”

Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks

“…ANNs are data processing structures which mimic the computational capabilities of biological systems by using numbers of interconnected simple processing elements called neurons [40,41]. The weighted links connecting the neurons pass signals from one neuron to another.…”

Action dependent heuristic dynamic programming based residential energy scheduling with home energy inter-exchange

“…Besides ADP, other intelligent algorithms including genetic algorithm (GA), ant colony algorithm, particle swarm optimization (PSO) approach, simulated annealing method, and fuzzy optimization, can also be employed to smart grid. Keçebas ß et al achieved artificial neural network modeling for energy analysis [24]. Sousa et al used annealing approach for energy resource management [25].…”