Results 41 to 50 of about 5,717,375 (237)
Regenerative braking system can recovery energy in various electric vehicles. Considering large computation load of global optimization methods, most researches adopt instantaneous or local algorithms to optimize the recuperation energy, and incline to ...
Liang Li +4 more
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Ensemble clustering via heuristic optimisation [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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In a competitive power market, generating utilities can be enhanced to achieve maximum profit by implementing a process of bidding strategy. Now‐a‐days renewable sources like solar and wind have become better alternatives significantly than other sources
Abhilipsa Sahoo, Prakash Kumar Hota
doaj +1 more source
Deterministic‐like solution to the non‐convex economic dispatch problem
This paper proposes a novel stochastic solution method for the static nonconvex power economic dispatch problem. All practical features such as valve point effects, ramp rate limits, prohibited operating zones, multiple fuel options, spinning reserve ...
Wael T. El‐Sayed +4 more
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A parallel multi‐block alternating direction method of multipliers for tensor completion
This paper proposes an algorithm for the tensor completion problem of estimating multi‐linear data under the limitation of observation rate. Many tensor completion methods are based on nuclear norm minimization, they may fail to achieve the global ...
Hu Zhu +5 more
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This paper presents the optimal load‐shedding strategy of home energy management systems (HEMSs). The HEMS uses the dynamic programming (DP) method to plan the day ahead, schedule, and connects to smart plugs to perform load‐shedding.
Chien‐Kuo Chang +2 more
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Towards experience management for Search Engine Optimisation [PDF]
Websites of Small and Medium-sized Enterprises (SMEs) can gain an added advantage by getting listed in the search engine’s results page during the search sessions of the searchers.
Roth-Berghofer, Thomas, Aul, Vani
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Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling [PDF]
Knowledge discovery is one of the most important human activities, which helps people recognise and understand some of the intricacies associated with the ancient and modern worlds.
Zhang, Qian
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Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints. [PDF]
This paper describes the application of two multi-objective optimisation techniques to the high efficiency deep grinding process. The process is modelled using a fuzzy expert system.
Tiwari, Ashutosh +7 more
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An accelerated medial object transformation for whole engine optimisation [PDF]
The following paper proposes an accelerated medial object transformation for the tip clearance optimisation of whole engine assemblies. A considerable reduction in medial object generation time has been achieved through two different mechanisms.
Wang, Leran +3 more
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