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Tzu-Ching Tai, Chen-Cheng Lee and Cheng-Chien Kuo
This paper proposes a new hybrid algorithm for grey wolf optimization (GWO) integrated with a robust learning mechanism to solve the large-scale economic load dispatch (ELD) problem. The robust learning grey wolf optimization (RLGWO) algorithm imitates t...
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Jingtong Dai and Zheng Wang
This paper focuses on the dynamic economic emission dispatch (DEED) problem, to coordinate the distributed energy resources (DERs) in a power system and achieve economical and environmental operation. Distributed energy storages (ESs) are introduced into...
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Xiu Xiao, Xiaoqing Xu, Zhe Wang, Chenxi Liu and Ying He
Cold energy recovery in LNG-powered vessels can not only improve the utilization efficiency of energy, but also benefit environmental protection. This paper put forward a new cascade scheme for utilizing flue gas waste heat and LNG cold energy comprehens...
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Bader Alaifan and Elie Azar
A net-zero energy community (NZEC) is a promising paradigm that can directly contribute to a sustainable building sector and infrastructure. This research presents a unique empirical techno-economic optimization and evaluation approach for NZEC potential...
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Daoyu Ye and Shengxiang Deng
The economy and energy saving effects of integrated energy system dispatch plans are influenced by the coupling of different energy devices. In order to consider the impact of changes in equipment load rates on the optimization and scheduling of the syst...
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Mauro Bonfanti and Giuseppe Giorgi
Wave energy converter (WEC) optimization often underlines incremental and iterative approaches that result in suboptimal solutions, since all the elements that concur with a techno-economical evaluation are optimized separately due to computation constra...
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Leonardo Bayas-Jiménez, F. Javier Martínez-Solano, Pedro L. Iglesias-Rey and Fulvio Boano
Over time, cities have grown, developing various activities and accumulating important economic assets. Floods are a problem that worry city administrators who seek to make cities more resilient and safer. This increase in flood events is due to differen...
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Mayara S. Siverio Lima, Alexander Buttgereit, Cesar Queiroz, Viktors Haritonovs and Florian Gschösser
This paper applies the Road Network Evaluation Tools (RONET) model to assess the economic impacts of urban pavement maintenance and rehabilitation in the city of Munster, Germany. The city?s road network includes main roads, main access roads, residentia...
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Rudolf Grünbichler,Barbara Petschacher,René Kollmann,Alexander Passer,Stefan Otto Grbenic
Pág. 421 - 434
Optimizing the cost situation is part of everyday business in a company. The research field of controlling has developed many instruments and methods for calculating potential savings and communicating them to the decision-makers. In the future, in order...
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Jian Tan, Henk Polinder, Antonio Jarquin Laguna, Peter Wellens and Sape A. Miedema
Currently, the techno-economic performance of Wave Energy Converters (WECs) is not competitive with other renewable technologies. Size optimization could make a difference. However, the impact of sizing on the techno-economic performance of WECs still re...
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Inna Lapkina,Yuliya Prykhno,Oleksandr Lapkin
Pág. 50 - 57
An economic-mathematical model of content optimization of the development multi-project of the project-oriented enterprise in a general form is proposed. The developed economic-mathematical model of multi-project content optimization allows creating a de...
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Sang Hyun Lee, Dong-Ha Lim and Kyungtae Park
In this study, exergy and economic analysis were conducted to gain insight on small-scale movable LNG liquefaction considering leakage. Optimization and comparison were performed to demonstrate the quantitative results of single mixed refrigerant, dual n...
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Jin Chen, Changsong Chen and Shanxu Duan
The main goal of this work is to provide a cooperative optimization method for regional multi-microgrid system, optimizing dispatching strategy and capacity allocation of electric vehicles and renewable energy sources. Meanwhile, across-time-and-space en...
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This study provides a scientific assessment of water scarcity in the Beijing-Tianjin-Hebei (BTH) city region and investigates its restrictive effects on urban economic development by quantifying economic loss caused by water scarcity based on an input&nd...
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Ioannis E. Livieris
During the last few decades, machine learning has constituted a significant tool in extracting useful knowledge from economic data for assisting decision-making. In this work, we evaluate the performance of weight-constrained recurrent neural networks in...
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Matti Sihvonen, Kari Hyytiäinen, Elena Valkama and Eila Turtola
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Ganiyu Adedayo Ajenikoko, Olusoji Simeon Olaniyan, John Oludayo Adeniran
Pág. Page:1 - 15Abstract
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Panagiota Galiatsatou, Christos Makris and Panayotis Prinos
The present work aims at presenting an approach on implementing appropriate mitigation measures for the upgrade of rubble mound breakwaters protecting harbors and/or marinas against increasing future marine hazards and related escalating exposure to down...
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Panagiota Galiatsatou, Christos Makris and Panayotis Prinos
The present work aims at presenting an approach on implementing appropriate mitigation measures for the upgrade of rubble mound breakwaters protecting harbors and/or marinas against increasing future marine hazards and related escalating exposure to down...
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Panagiota Galiatsatou, Christos Makris and Panayotis Prinos
The present work aims at presenting an approach on implementing appropriate mitigation measures for the upgrade of rubble mound breakwaters protecting harbors and/or marinas against increasing future marine hazards and related escalating exposure to down...
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