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Yu Fu, Shuqing Hao, Junhao Zhang, Liwen Yu, Yuxin Luo and Kuan Zhang
This paper proposes an active?reactive power collaborative scheduling model with cluster division for the flexible distributed energy resources (DERs) of smart-building systems to resolve the high complexity of the centralized optimal scheduling of massi...
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Niloufar Beikahmadi, Antonio Francipane and Leonardo Valerio Noto
Accurate precipitation estimation remains a challenge, though it is fundamental for most hydrological analyses. In this regard, this study aims to achieve two objectives. Firstly, we evaluate the performance of two precipitation products from the Integra...
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Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding and Yuzhan Dong
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as...
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Hiroyuki Miura, Masashi Matsuoka, Juan C. Reyes, Nelson Pulido, Mitsufumi Hashimoto, Andrea C. Riaño, Alvaro Hurtado, Raul Rincon, Helber García and Carlos Lozano
Early disaster responses in damaged areas after a large earthquake are indispensable for stakeholders to assess and grasp the impacts such as building and infrastructure damage and disrupted community functionality as soon as possible. This study introdu...
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Chengxi Xu, Yunyi Zhang, Fan Shi, Hong Shan, Bingyang Guo, Yuwei Li and Pengfei Xue
The centralization of the global DNS ecosystem may accelerate the creation of an oligopoly market, thereby, increasing the risk of a single point of failure and network traffic manipulation. Earlier studies have revealed the level of centralization in te...
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Manohar Chamana, Rabindra Bhatta, Konrad Schmitt, Rajendra Shrestha and Stephen Bayne
The increased adoption of information and communication technology for smart grid applications will require innovative cyber?physical system (CPS) testbeds to support research and education in the field. Groundbreaking CPS testbeds with realistic and sca...
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Daniela Patricia Bohórquez-Álvarez, Karen Dayanna Niño-Perdomo and Oscar Danilo Montoya
This paper addresses the problem concerning the efficient minimization of power losses in asymmetric distribution grids from the perspective of convex optimization. This research?s main objective is to propose an approximation optimization model to reduc...
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Venkataramana Veeramsetty, Modem Sai Pavan Kumar and Surender Reddy Salkuti
Short-term electric power load forecasting is a critical and essential task for utilities in the electric power industry for proper energy trading, which enables the independent system operator to operate the network without any technical and economical ...
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Mlungisi Ntombela, Kabeya Musasa and Moketjema Clarence Leoaneka
A number of algorithms that aim to reduce power system losses and improve voltage profiles by optimizing distributed generator (DG) location and size have already been proposed, but they are still subject to several limitations. Hence, new algorithms can...
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Mohamed Abbas, Mohammed A. Alshehri and Abdulwasa Bakr Barnawi
Active power losses have the potential to affect the distribution of power flows along transmission lines as well as the mix of energy used throughout power networks. Grey wolf optimization algorithms (GWOs) are used in electrical power systems to reduce...
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