[
[1] Chamandoust H., et al. Tri-objective optimal scheduling of smart energy hub system with schedulable loads. Journal of Cleaner Production 2019:236:117584. https://doi.org/10.1016/j.jclepro.2019.07.059
]Search in Google Scholar
[
[2] Chamandoust H., et al. Multi-objective performance of smart hybrid energy system with Multi-optimal participation of customers in day-ahead energy market. Energy & Buildings 2020:216:109964. https://doi.org/10.1016/j.enbuild.2020.109964
]Search in Google Scholar
[
[3] Chamandoust H., et al. Multi-objectives Optimal Scheduling in Smart Energy Hub System with Electrical and Thermal Responsive Loads. Environmental and Climate Technologies 2020:24(1):209–232. https://doi.org/10.2478/rtuect-2020-0013
]Search in Google Scholar
[
[4] Chamandoust H., et al. Tri-objective scheduling of residential smart electrical distribution grids with optimal joint of responsive loads with renewable energy sources. Journal of Energy Storage 2020:27:101112. https://doi.org/10.1016/j.est.2019.101112
]Search in Google Scholar
[
[5] Chamandoust H., et al. Multi-objective operation of smart stand-alone microgrid with the optimal performance of customers to improve economic and technical indices. Journal of Energy Storage 2020:31:101738. https://doi.org/10.1016/j.est.2020.101738
]Search in Google Scholar
[
[6] Chamandoust H., et al. Energy management of a smart autonomous electrical grid with a hydrogen storage system. International journal of hydrogen energy 2021:46(34):17608–17626. https://doi.org/10.1016/j.ijhydene.2021.02.174
]Search in Google Scholar
[
[7] Chamandoust H., et al. Day-ahead scheduling problem of smart micro-grid with high penetration of wind energy and demand side management strategies. Sustainable Energy Technologies and Assessments 2020:40:100747. https://doi.org/10.1016/j.seta.2020.100747
]Search in Google Scholar
[
[8] Chamandoust H., et al. Optimal hybrid participation of customers in a smart micro grid based on day ahead electrical market. Artificial Intelligence Review 2022:55:5891–5915. https://doi.org/10.1007/s10462-022-10154-z
]Search in Google Scholar
[
[9] Chamandoust H., et al. Energy Economic Management of Hybrid Energy System Based on Short-term Generation and Demand Response. Environmental and Climate Technologies 2020:24:653–668. https://doi.org/10.2478/rtuect-2020-0040
]Search in Google Scholar
[
[10] Chamandoust H., et al. Optimal Hybrid System Design Based on Renewable Energy Resources. IEEE Smart Grid Conference (SGC) 2017. https://doi.org/10.1109/SGC.2017.8308878
]Search in Google Scholar
[
[11] Chamandoust H., et al. Scheduling of Smart Micro Grid Considering Reserve and Demand Side Management. IEEE Smart Grid Conference (SGC) 2018. https://doi.org/10.1109/SGC.2018.8777926.
]Search in Google Scholar
[
[12] Rashidi D., et al. An economic and environmental optimization model in a micro grid with demand response. Environmental and Climate Technologies 2022:26:730–741. https://doi.org/10.2478/rtuect-2022-0056
]Search in Google Scholar
[
[13] Jalil A. T., et al. Improving the transition capability of the low-voltage wind turbine in the sub-synchronous state using a fuzzy controller. Clean Energy 2022:6(4):682–692. https://doi.org/10.1093/ce/zkac033.
]Search in Google Scholar
[
[14] Vaslavskaya I., et al. Application of Experimental Design in Optimizing Fuel Station Queuing System. Industrial Engineering & Management Systems 2022:21(2):381–389. https://doi.org/10.7232/iems.2022.21.2.381
]Search in Google Scholar
[
[15] Sharma S., et al. Economic Performance of a Hybrid Renewable Energy System with Optimal Design of Resources. Environmental and Climate Technologies 2022:26(1):441–453. https://doi.org/10.2478/rtuect-2022-0034.
]Search in Google Scholar
[
[16] Abbas Z., et al. The effect of various irrigation technologies and strategies on water resources management. Journal of Water and Land Development 2022:53(4–6):143–147. https://doi.org/10.24425/jwld.2022.140790
]Search in Google Scholar
[
[17] Alim A.A., et al. Multi Project Scheduling and Material Planning Using Lagrangian Relaxation Algorithm. Industrial Engineering & Management Systems 2021:20(4):580–587. https://doi.org/10.7232/IEMS.2021.20.4.580
]Search in Google Scholar
[
[18] Wiriantari F., et al. Transformation of Catuspatha in Bali Indonesia: Alteration Ideas from Empty Space to Aesthetic Element of City. Rupkatha Journal on Interdisciplinary Studies in Humanities 2020:12(6). https://doi.org/10.21659/rupkatha.v12n6.15
]Search in Google Scholar
[
[19] Suyoga P. G., Dwijendra N. K. A. Analyze of Symbolic Violence Practices in Balinese Vernacular Architecture, Bali Indonesia. International Journal of Innovation, Creativity and Change 2020:13(5):184–194.
]Search in Google Scholar
[
[20] Bouchaala F., et al. Estimation of Seismic Wave Attenuation from 3D Seismic Data: A Case Study of OBC Data Acquired in an Offshore Oilfield. Energies 2022:15(2):534. https://doi.org/10.3390/en15020534
]Search in Google Scholar
[
[21] Bouchaala F., Ali M. Y., Matsushima J. Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield. Comptes Rendus. Géoscience 2021:353(1):337–354. https://doi.org/10.5802/crgeos.83
]Search in Google Scholar
[
[22] Matsushima J., Ali M. Y., Bouchaala F. Propagation of waves with a wide range of frequencies in digital core samples and dynamic strain anomaly detection: carbonate rock as a case study. Geophysical Journal International 2021:224(1):340–354. https://doi.org/10.1093/gji/ggaa467
]Search in Google Scholar
[
[23] Xu Y.-P., et al. Optimal structure design of a PV/FC HRES using amended Water Strider Algorithm. Energy Reports 2021:7:2057–2067. https://doi.org/10.1016/j.egyr.2021.04.016
]Search in Google Scholar
[
[24] Zhu P., et al. Application of probability decision system and particle swarm optimization for improving soil moisture content. Water Supply 2021:21(8):4145–4152. https://doi.org/10.2166/ws.2021.169
]Search in Google Scholar
[
[25] Zhang J., et al. Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2022:44:287–305. https://doi.org/10.1080/15567036.2022.2043956
]Search in Google Scholar
[
[26] Phumsiri N. Exploratory factor and structural equation modelling analysis of increasing efficiency of accounting officers with deming cycle. International Journal of Economics and Finance Studies 2022:14(1):239–258. https://doi.org/10.34109/ijefs.202220010
]Search in Google Scholar
[
[27] Van Hoa N., et al. Impact of Trained Human Resources, Adoption of Technology and International Standards on the Improvement of Accounting and Auditing Activities in the Agricultural Sector in Viet Nam. AgBioForum 2022:24(1):59–71.
]Search in Google Scholar
[
[28] Masrour A. Global Alliances to Accelerate Innovation at Plug and Play Technology Center. Journal of Commercial Biotechnology 2021:26(1):102–103. https://doi.org/10.5912/jcb976
]Search in Google Scholar
[
[29] Richardson T. M., et al. Insights From the Field: Project Execution Success and Failure. The Journal of Modern Project Management 2022:9(2). https://doi.org/10.19255/JMPM02707
]Search in Google Scholar
[
[30] Alhamdi F. M. Impact of Knowledge Management Models on Entrepreneurial Organizations and Mediating Role of Strategic Entrepreneurship: An Exploratory Study of Asiacell Mobile Communications, Iraq. Eurasian Journal of Educational Research 2022:98(98):147–164.
]Search in Google Scholar
[
[31] Wood A. J., et al. Selection and Engagement of Professional Consulting Services: Decision-Making Processes used by Project Management Offices in South Australia. The Journal of Modern Project Management 2022:9(3):125–137. https://doi.org/10.19255/JMPM02808
]Search in Google Scholar
[
[32] Wattanakul S., et al. A Port Digital Twin Model for Operational Uncertainty Management. The Journal of Modern Project Management 2022:9(3):155–167. https://doi.org/10.19255/JMPM02810
]Search in Google Scholar
[
[33] Nachbagauer A. Resilient Project Management. The Journal of Modern Project Management 2022:10(1):3–17. https://doi.org/10.19255/JMPM02901
]Search in Google Scholar
[
[34] Dwijendra N. K. A. Identity Struggle Perspective in Car-Shaped Shrine in Paluang Temple, Nusa Penida Bali, Indonesia. International Journal of Psychosocial Rehabilitation 2020:24(4):5579–5591. https://doi.org/10.37200/IJPR/V24I4/PR201653
]Search in Google Scholar
[
[35] Dwijendra N. K. A. From Tradition to Modernization in Morphological Process of Indigenous Settlement Patterns in Bali, Indonesia. International Journal of Advanced Science and Technology 2020:29(8s):172–184.
]Search in Google Scholar
[
[36] Strang K. D., Vajjhala N. R. Testing risk management decision making competency of project managers in a crisis. The Journal of Modern Project Management 2022:10(1):52–71. https://doi.org/10.19255/JMPM02904
]Search in Google Scholar
[
[37] Osborne G. J., Wood A., Ishak S. M. Knowledge management processes in south australian infrastructure projects: aligning key stakeholders expectations and practices. The Journal of Modern Project Management 2022:10(1):126–139. https://doi.org/10.19255/JMPM02908
]Search in Google Scholar
[
[38] Ferdous R., Ahmed M. T. Is Environmental Kuznets Hypothesis Vice-Versa for Bangladesh Especially in the Times of Global Climate Change? – An ARDL Econometric Modeling Approach. Energy Economics Letters 2022:9(1):55–66. https://doi.org/10.55493/5049.v9i1.4571
]Search in Google Scholar
[
[39] Goli A., Golmohammadi A. M. Multi-objective optimization of location and distribution in a closed-loop supply chain by considering market share in competitive conditions. International Journal of Supply and Operations Management 2022:9(4):483–495. https://doi.org/10.22034/ijsom.2021.109265.2285
]Search in Google Scholar
[
[40] Dwijendra N. K. A. Meru as a Hindu Sacred Building Architecture with a High Roof and Resistant to Earthquakes in Bali, Indonesia. Civil Engineering and Architecture 2020:8(3):350–358. https://doi.org/10.13189/cea.2020.080319
]Search in Google Scholar
[
[41] Jafarian-Namin S., et al. Forecasting the wind power generation using Box–Jenkins and hybrid artificial intelligence: A case study. International journal of energy sector management 2019:13(4):1038–1062. https://doi.org/10.1108/IJESM-06-2018-0002
]Search in Google Scholar
[
[42] Golmohammadi A., Bonab S., Parishani A. A multi-objective location routing problem using imperialist competitive algorithm. International Journal of Industrial Engineering Computations 2016:7(3):481–488. https://doi.org/10.5267/j.ijiec.2015.12.002
]Search in Google Scholar
[
[43] Zerafati M. E., et al. A multi-objective mixed integer linear programming model proposed to optimize a supply chain network for microalgae-based biofuels and co-products: a case study in Iran. Environmental Science and Pollution Research 2022:1–23. https://doi.org/10.1007/s11356-022-19465-8
]Search in Google Scholar
[
[44] Rasay H., Naderkhani F., Golmohammadi A. M. Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes. 2022 IEEE International Conference on Prognostics and Health Management (ICPHM) 2022:17–24. https://doi.org/10.1109/ICPHM53196.2022.9815668
]Search in Google Scholar
[
[45] Haghshenas P., Sahraeian R., Golmohammadi A. M. A state-of-the-art model of location, inventory, and pricing problem in the closed-loop supply chain network. International Journal of Engineering Transactions B: Applications 2022:35(8):1558–1570. https://doi.org/10.5829/IJE.2022.35.08B.12
]Search in Google Scholar
[
[46] Mitova S., Henao A., Kahsar R., Farmer C. J. Smart Charging for Electric Ride-Hailing Vehicles using Renewables: A San Francisco Case Study. International Journal of Sustainable Energy and Environmental Research 2022:11(2):67–85. https://doi.org/10.18488/13.v11i2.3081
]Search in Google Scholar
[
[47] Seyedhosseini S. M., Esfahani M. J., Ghaffari M. A novel hybrid algorithm based on a harmony search and artificial bee colony for solving a portfolio optimization problem using a mean-semi variance approach. Journal of Central South University 2016:23(1):181–188. https://doi.org/10.1007/s11771-016-3061-9
]Search in Google Scholar
[
[48] Agarkov N. B., et al. Optimization of the drainage system of overburden dumps using geofiltration modeling. Caspian Journal of Environmental Sciences 2022:20(1):171–175. https://doi.org/10.22124/CJES.2022.5413
]Search in Google Scholar
[
[49] Tabatabaei M., Salehpour A. J. Optimization of sediment rating curve coefficients using evolutionary algorithms and unsupervised artificial neural network. Caspian Journal of Environmental Sciences 2017:15(4):385–399.
]Search in Google Scholar
[
[50] Abidin I. S. Z., et al. The Role of Rural Infrastructure, Labour and Capital Investment on the Rice Production in Malaysia. AgBioForum 2022:24(1):50–58.
]Search in Google Scholar
[
[51] Pimonratanakan S. The causal factors that influence the organization performance of the agricultural machinery industry. AgBioForum 2022: 24(1):72–82.
]Search in Google Scholar
[
[52] Panyasing S., et al. The government policy on the organic rice farming groups embracing sustainable agricultural production: evidence in Thailand. AgBioForum 2022:24(1):83–94.
]Search in Google Scholar
[
[53] Duong K. D., Ngo T. Q. Impact of Energy Consumption and Agriculture Growth on the Environmental Degradation: Evidence from ASEAN Countries. AgBioForum 2022:24(1):116–128.
]Search in Google Scholar
[
[54] Mamani W. C., et al. The Role of Entrepreneurship and Green Innovation Intention on Sustainable Development: Moderating Impact of Inclusive Leadership. AgBioForum 2022:24(1).
]Search in Google Scholar
[
[55] Almoussawi Z. A., et al. The Effect of Adoption of Technology, Technology Diffusion, Human Capital, Formation of Capital and Labor Force in the Production of Agriculture Products in Iraq. AgBioForum 2022:24(1):144–152.
]Search in Google Scholar
[
[56] Dinh H. P., et al. Factors Affecting Farmers’ Decisions to Participate in Agricultural Tourism Activities: A Case Study in the Mekong Delta, Vietnam. AgBioForum 2022:24(1):30–40.
]Search in Google Scholar
[
[57] Sibuea M. B., Sibuea S. R., Pratama I. The impact of renewable energy and economic development on environmental quality of ASEAN countries. AgBioForum 2021:23(1):12–21
]Search in Google Scholar
[
[58] Athiyaman A., Magapa T. Market intelligence from the internet: an illustration using the biomass heating industry. International Journal of Economics and Finance Studies 2019:11(1):1–16.
]Search in Google Scholar
