The topology of the NYN. by Yi Tao (178829)

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The result of Wilcoxon signed-rand test. by Yi Tao (178829)

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The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

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Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

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Optional pipe diameter and unit price of HN. by Yi Tao (178829)

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The topology of HN. by Yi Tao (178829)

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Information of nodes and pipes of HN. by Yi Tao (178829)

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Table14_Developing an Artificial Hummingbird Algorithm for Probabilistic Energy Management of Microgrids Considering Demand Response.docx by Nehmedo Alamir (13038273)

“…<p>This study proposes an artificial hummingbird algorithm (AHA) for energy management (EM) for optimal operation of a microgrid (MG), including conventional sources and renewable energy sources (RES), with an incentive-based demand response (DR). …”

Table15_Developing an Artificial Hummingbird Algorithm for Probabilistic Energy Management of Microgrids Considering Demand Response.docx by Nehmedo Alamir (13038273)

“…<p>This study proposes an artificial hummingbird algorithm (AHA) for energy management (EM) for optimal operation of a microgrid (MG), including conventional sources and renewable energy sources (RES), with an incentive-based demand response (DR). …”

The probability density function for cost function g(X). by Matheus Sant’Ana Lima (9937809)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

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Cost comparison between diesel pump and solar pump. by Gourab Saha (8987405)

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Cost analysis for prototype implementation for crop and fertilizer recommendation system. by Gourab Saha (8987405)

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Variation of reconfiguration cost with the number of SFCs. by Shuang Guo (294074)

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Performance comparison of recent and effective algorithms for minimizing error-based cost functions. by Davut Izci (15927452)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Comparison chart of computation time. by Manoj Kumar V. (18196645)

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DSM optimization method implementation flowchart. by Manoj Kumar V. (18196645)

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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”