[
[1] Tseng Cheng-Jui et al. Optimal Energy Management in a Smart Micro Grid with Demand Side Participation. Environmental and Climate Technologies 2022:26(1):228–239. https://doi.org/10.2478/rtuect-2022-0018.
]Search in Google Scholar
[
[2] Mustika N. M., et al. Sustainable Socio-cultural Aspect Within Green Building User Behavior in Bali, Indonesia. In IOP Conference Series: Earth and Environmental Science 2021:933(1):012021. IOP Publishing. https://doi.org/10.1088/1755-1315/933/1/012021
]Search in Google Scholar
[
[3] Sifatu W. O. et al. Innovative work behaviors in pharmacies of Indonesia: Role of employee voice, generational diversity management and employee engagement. Systematic Reviews in Pharmacy 2020:11(2):725–734.
]Search in Google Scholar
[
[4] Primadewi S. P. N., et al. Emerging Architect’s Design Method in Designing Tourist Accommodation Case Study: Tourist Accommodation in Ubud, Bali. Civil Engineering and Architecture 2021:9(2):271–280. https://doi.org/10.13189/cea.2021.090201
]Search in Google Scholar
[
[5] Mohammadzadeh A., Castillo O., Band S. S., Mosavi A. A novel fractional-order multiple-model type-3 fuzzy control for nonlinear systems with unmodeled dynamics. International Journal of Fuzzy Systems 2021:23(6):1633–1651. https://doi.org/10.1007/s40815-021-01058-1
]Search in Google Scholar
[
[6] Wang Z., et al. Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious nonlinear time series modeling. Engineering Applications of Computational Fluid Mechanics 2020:14(1):1351–1372. https://doi.org/10.1080/19942060.2020.1830858
]Search in Google Scholar
[
[7] Ma C., Mohammadzadeh A., Turabieh H., Mafarja M., Band S. S., Mosavi A. Optimal type-3 fuzzy system for solving singular multi-pantograph equations. IEEE Access. 2020:8:225692–225702. https://doi.org/10.1109/ACCESS.2020.3044548
]Search in Google Scholar
[
[8] Madvar H. R., Dehghani M., Memarzadeh R., Salwana E., Mosavi A., Shahab S. Derivation of optimized equations for estimation of dispersion coefficient in natural streams using hybridized ANN with PSO and CSO algorithms. IEEE Access 2020:8:156582–156599. https://doi.org/10.1109/ACCESS.2020.3019362
]Search in Google Scholar
[
[9] Rjoub H., Türsoy T., Günsel N. The effects of macroeconomic factors on stock returns: Istanbul Stock Market. Studies in Economics and Finance 2009:26(1). https://doi.org/10.1108/10867370910946315
]Search in Google Scholar
[
[10] Tursoy T., Gunsel N., Rjoub H. Macroeconomic factors, the APT and the Istanbul stock market. International Research Journal of Finance and Economics 2008:22:49–57.
]Search in Google Scholar
[
[11] Rjoub H., Civcir I., Resatoglu N. G. Micro and macroeconomic determinants of stock prices: The case of Turkish banking sector. Romanian Journal of Economic Forecasting 2017:20(1):150–166.
]Search in Google Scholar
[
[12] Rjoub H. Stock prices and exchange rates dynamics: Evidence from emerging markets. African Journal of Business Management 2012:6(13):4728–4733. https://doi.org/10.5897/AJBM11.2761
]Search in Google Scholar
[
[13] Adebayo T. S., Rjoub H., Akinsola G. D., Oladipupo S. D. The asymmetric effects of renewable energy consumption and trade openness on carbon emissions in Sweden: new evidence from quantile-on-quantile regression approach. Environmental Science and Pollution Research 2022:29(2):1875–1886. https://doi.org/10.1007/s11356-021-15706-434363156
]Search in Google Scholar
[
[14] Alnaimi A. M. M., Rjoub H. Perceived organizational support, psychological entitlement, and extra-role behavior: The mediating role of knowledge hiding behavior. Journal of Management & Organization 2021:27(3):507–522. https://doi.org/10.1017/jmo.2019.1
]Search in Google Scholar
[
[15] Safi A., Chen Y., Wahab S., Zheng L., Rjoub H. Does environmental taxes achieve the carbon neutrality target of G7 economies? Evaluating the importance of environmental R&D. Journal of Environmental Management 2021:293:112908. https://doi.org/10.1016/j.jenvman.2021.11290834289591
]Search in Google Scholar
[
[16] Adebayo T. S., et al. Wavelet analysis of impact of renewable energy consumption and technological innovation on CO2 emissions: evidence from Portugal. Environmental Science and Pollution Research 2022:29(16):23887–23904. https://doi.org/10.1007/s11356-021-17708-834817815
]Search in Google Scholar
[
[17] Adebayo T. S., et al. Modeling the dynamic linkage between renewable energy consumption, globalization, and environmental degradation in South Korea: Does technological innovation matter? Energies 2021:14(14):4265. https://doi.org/10.3390/en14144265
]Search in Google Scholar
[
[18] Akhmadeev R., et al. Modeling Social Impacts of High-Rise Residential Buildings during the Post-Occupancy Phase Using DEMATEL Method: A Case Study. Buildings 2021:11(11):504. https://doi.org/10.3390/buildings11110504
]Search in Google Scholar
[
[19] 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
[
[20] 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. https://doi.org/10.34109/ijefs.201911101
]Search in Google Scholar
[
[21] Jermsittiparsert K. Linkage between energy consumption, natural environment pollution, and public health dynamics in ASEAN. International Journal of Economics and Finance Studies 2021:13(2):1–21.
]Search in Google Scholar
[
[22] Nguyen-Chi H., Chuong H. N., Pham-My D., Nguyen-Anh T., Tra-Van T. Spatial clustering of manufacturing firms in vietnam. International Journal of Economics and Finance Studies 2022:14(1):116–137.
]Search in Google Scholar
[
[23] 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.
]Search in Google Scholar
[
[24] Van Hoa N., Duyen N. T. H., Huyen V. N., Quang H. V., Van Huong N., Tu N. T. C., Nguyet B. T. M. 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
[
[25] Boni A., Gunn M. Building and leveraging the innovation ecosystem and clusters: universities, startups, accelerators, alliances, and partnerships: A “From the Boardroom” Perspective by the Special Edition Co-Editors. Journal of Commercial Biotechnology 2021:26(1). https://doi.org/10.5912/jcb963
]Search in Google Scholar
[
[26] Oladele M. F., Nubong G. The Contribution of private investment to economic growth and development in south africa. International Journal of Economics and Finance Studies 2022:14(1):88–115.
]Search in Google Scholar
[
[27] 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
[
[28] Richardson T. M., Marion J. W., Anantatmula V. S., Gibson J. R. 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
[
[29] Ahmadi Z., Haghighi M., Validi Z. A Novel Approach for Energy Optimization in Distributed Databases in Wireless Network Applications. Journal of Management and Accounting Studies 2020:8(3). https://doi.org/10.24200/jmas.vol8iss3pp50-55
]Search in Google Scholar
[
[30] Irandoost A., Kargar S. An integrated optimization of routing and scheduling of liner ships in offshore logistics management. Journal of Research in Science, Engineering and Technology 2021:9(02):17–35.
]Search in Google Scholar
[
[31] Zainal A. G. Community development communication model and improving the role of agropolitan institutions. International Journal of Scientific and Technology Reseacrh 2020:8(12):2028–2034.
]Search in Google Scholar
[
[32] Zainal A. G., Yulianto H., Yanfika H. Financial benefits of the environmentally friendly aquaponic media system. In IOP Conference Series: Earth and Environmental Science 2021:739(1):012024. IOP Publishing. https://doi.org/10.1088/1755-1315/739/1/012024
]Search in Google Scholar
[
[33] 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 2016:23:181–188. https://doi.org/10.1007/s11771-016-3061-9.
]Search in Google Scholar
[
[34] Ghaffari M., Javadian N., Narimani F. An improvement approach for bullwhip effect in multi-product and multi stage supply chains. In 6th International Conference on Information Systems Logistics and Supply Chain. 2016.
]Search in Google Scholar
[
[35] Mirfani A. M., Kurniady D. A., Ahmed A. A. A., Shichiyakh R. A., Kadhim M. M., Hasan A. Y., Ghaffari M. An Integrated Multi-Objective Approach to Managing Supply Risks in a Flexible Supply Chain. Industrial Engineering & Management Systems 2021:20(4):596–603. https://doi.org/10.7232/iems.2021.20.4.596
]Search in Google Scholar
[
[36] Patmal M. H., Shiran H. Public awareness and their attitudes toward adopting renewable energy technologies in Afghanistan. International Journal of Innovative Research and Scientific Studies 2021:4(2):82–91. https://doi.org/10.53894/ijirss.v4i2.61
]Search in Google Scholar
[
[37] Frysa Wiriantari., 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
[
[38] Molajou A., et al. A new paradigm of water, food, and energy nexus. Environmental Science and Pollution Research 2021. https://doi.org/10.1007/s11356-021-13034-133634401
]Search in Google Scholar
[
[39] Nourani V., Rouzegari N., Molajou A., Baghanam A. H. An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios. Journal of Hydrology 2020:587:125018. https://doi.org/10.1016/j.jhydrol.2020.125018
]Search in Google Scholar
[
[40] Molajou A., Nourani V., Afshar A., Khosravi M., Brysiewicz A. Optimal design and feature selection by genetic algorithm for emotional artificial neural network (EANN) in rainfall-runoff modeling. Water Resources Management 2021:35(8):2369–2384. https://doi.org/10.1007/s11269-021-02818-2
]Search in Google Scholar
[
[41] Molajou A., Pouladi P., Afshar A. Incorporating social system into water-food-energy nexus. Water Resources Management 2021:35(13):4561–4580. https://doi.org/10.1007/s11269-021-02967-4
]Search in Google Scholar
[
[42] 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
[
[43] Golmohammadi A. M., Rasay H., Akhoundpour Amiri Z., Solgi M., Balajeh N. Soft computing methodology to optimize the integrated dynamic models of cellular manufacturing systems in a robust environment. Mathematical Problems in Engineering 2021. https://doi.org/10.1155/2021/3040391
]Search in Google Scholar
[
[44] Zerafati M. E., Bozorgi-Amiri A., Golmohammadi A. M., Jolai F. 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/s11356-022-19465-835301627
]Search in Google Scholar
[
[45] Zheng B., Wang H., Golmohammadi A. M., Goli A. Impacts of logistics service quality and energy service of Business to Consumer (B2C) online retailing on customer loyalty in a circular economy. Sustainable Energy Technologies and Assessments 2022:52:102333. https://doi.org/10.1016/j.seta.2022.102333
]Search in Google Scholar
[
[46] Jafarian-Namin S., Goli A., Qolipour M., Mostafaeipour A., Golmohammadi A. M. Forecasting the wind power generation using Box–Jenkins and hybrid artificial intelligence: A case study. International Journal of Energy Sector Management 2019:13(4). https://doi.org/10.1108/IJESM-06-2018-0002
]Search in Google Scholar
[
[47] 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
[
[48] 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
[
[49] Chamandoust H. et al. Multi-objectives Optimal Scheduling in Smart Energy Hub System with Electrical and Thermal Responsive Loads. Environmental and Climate Technologies 2020:24:209–232. https://doi.org/10.2478/rtuect-2020-0013.
]Search in Google Scholar
[
[50] 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
[
[51] 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
[
[52] 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
[
[53] 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
[
[54] 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
[
[55] 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(1):653–668. https://doi.org/10.2478/rtuect-2020-0040.
]Search in Google Scholar
[
[56] Chamandoust H., Hashemi A., Derakhshan G., Abdi B. Optimal Hybrid System Design Based on Renewable Energy Resources. IEEE Smart Grid Conference (SGC), Dec 2017. https://doi.org/10.1109/SGC.2017.8308878.
]Search in Google Scholar
[
[57] 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
[
[58] Nazari-Heris M., Abapour S., Mohammadi-Ivatloo B. Optimal economic dispatch of FC- CHP based heat and power micro-grids. Applied Thermal Engineering 2017:114(5):756–769. https://doi.org/10.1016/j.applthermaleng.2016.12.016
]Search in Google Scholar
[
[59] Blumberga A., Timma L., Blumberga D. System Dynamic Model for the Accumulation of Renewable Electricity using Power-to-Gas and Power-to-Liquid Concepts. Environmental and Climate Technologies 2016:16:54–68. https://doi.org/10.1515/rtuect-2015-0012.
]Search in Google Scholar
