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Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery
(Institute of Electrical and Electronics Engineers Inc., 2018-11-20)
Power system resiliency and robustness became major concerns of the system operators and researchers after the introduction of the smart grid concept. The improvements in the battery storage systems (BSS) and the photovoltaic ...
Feature diverse hierarchical classification of human gait with CW radar for assisted living
(Institution of Engineering and Technology, 2017-10-26)
Activity recognition and estimation of gait parameter are medically essential components of remote health monitoring systems that can improve quality of life, enable personalized treatments, acquire continual medical data ...
A Multi-Agent System Model for Partner Selection Process in Virtual Enterprise
(ELSEVIER Science BV, 2014)
Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. VE information system deals with highly dynamic information from heterogeneous data sources. In order to manage and store ...
Clustering Quality Improvement of k-means using a Hybrid Evolutionary Model
(ELSEVIER Science BV, 2015)
Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...
Developing a Two Level Options Trading Strategy Based on Option Pair Optimization of Spread Strategies with Evolutionary Algorithms
(IEEE, 2015)
In this study, a two level options trading strategy is modelled and optimized with Genetic Algorithms and Particle Swarm Optimization for profit maximization. In the first level, the trend is found and in the second level, ...
Estimation of parameters for the free-form machining with deep neural network
(IEEE, 2017)
Predictive Analytics is a crucial part of a Big Data application. Lately, developers have turned their attention to deep learning models due to their huge success in various implementations. Meanwhile, there is lack of ...
Automated generation of attack graphs using NVD
(Association for Computing Machinery, Inc., 2018)
Today’s computer networks are prone to sophisticated multi-step, multi-host attacks. Common approaches of identifying vulnerabilities and analyzing the security of such networks with naive methods such as counting the ...
Ontology-centric Data Modelling and Decision Support in Smart Grid Applications A Distribution Service Operator Perspective
(IEEE, 2014)
Conventional electricity distribution grids are getting smarter by coupling operation technologies with advanced information and communication technologies (ICT). This provides a better, reliable, cost effective and efficient ...
Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning
(IEEE, 2017)
In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...
Partner selection in formation of virtual enterprises using fuzzy logic
(SciTePress, 2015)
Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select ...
