Search Results for network

...Acknowledgments We thank Christopher Wheatley for his valuable input into the network analysis section of the work. ...

... , K. , Han , J. , and Kwon , J. S. I. , “ Optimal design of shale gas supply chain network considering MPC-based pumping schedule of hydraulic fracturing in unconventional reservoirs ,” Chem. Eng. Res. Des.   147 , 412 – 429 ( 2019 ). 10.1016/j.cherd.2019.05.016 Alvaro , R...

... network as an apparent reverse power flow can increase the voltage in the distribution feeders, triggering the protection mechanisms installed on solar inverters and leading to the shutdown of PV power generation. This can cause sudden changes in network power flow and voltage. Thus, reverse power flow...

... model, which is a combination of first-principles models and data-driven models such as neural networks. As a demonstration, here we develop a hybrid model for a hydraulic fracturing process that combines its first-principles model with a deep neural network that estimates its unmeasured process...

...) was used for pre-processing the extracted features, relating the time-domain six parameters and frequency-domain two parameters. Furthermore, an Artificial Neural Network (ANN) was applied as an automatic classifier on the three considered faults. Multilayer Perceptron (MLP) Neural Network with Back...

... model was proposed where an artificial neural network (data-driven model) trained with kinetic data was incorporated into a mass balance for modeling the species concentration of a batch reactor ( Galvanauskas et al., 2004 ). In another approach, a hybrid model was developed for batch...

... , F. , Fung , A. S. , and Raahemifar , K. , “ Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system ,” Energy Buildings   141 , 96 – 113 ( 2017 ). 10.1016/j.enbuild...

.... , Jabalameli , M. S. , Jabbarzadeh , A. , and Pishvaee , M. S. , “ Resilient solar photovoltaic supply chain network design under business-as-usual and hazard uncertainties ,” Comput. Chem. Eng.   111 , 288 – 310 ( 2018 ). 10.1016/j.compchemeng.2018.01.013 Dehghani , E. , Jabalameli...

... – 260 ( 2001 ). 10.1016/S0960-1481(00)00176-2 Kamat , S. and Bandyopadhyay , S. , “ Bi-objective pinch analysis of heat integrated water conservation networks ,” J. Cleaner Prod.   312 , 127676 ( 2021 ). 10.1016/j.jclepro.2021.127676 Kammen , D. M. and Sunter , D...

...-Newtonian thinking identified by IRT. Network Analysis A network is formed by a collection of nodes connected by edges to form a graph. The edges may be directed or un-directed. The edges may also be weighted to indicate some features of the interaction. Note that the term edge comes from graph theory...

... Targeting of energy subsidies Mirzahosseini and Taheri (2012) TRNSYS PV/TS/Battery Optimum water flow rate Kalogirou (2001) Pinch analysis methods In the late 1970s, Professor Bodo Linnhoff and his colleagues proposed a heat transfer network optimization design method that gradually developed...

... attack method for IoT system in photovoltaic energy system ,” Network Syst. Sec.   10394 , 613–622 ( 2017 ). Maish , A. B. , Atcitty , C. , Hester , S. , Greenberg , D. , Osborn , D. , Collier , D.   et al. , “ Photovoltaic system reliability ,” in Conference Record...

... β j e ( t − j ) , where X(t) represents the forecasted PV power, which is the summation of the AR and MA functions. Artificial neural network (ANN) is the most efficient method and has been popular with researchers since 1980. This method has been applied to different...