Miltiadis Alamaniotis

According to our database1, Miltiadis Alamaniotis authored at least 57 papers between 2009 and 2020.

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Bibliography

2020
Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids.
Frontiers Artif. Intell., 2020

Design Optimization of a Novel Networked Electromagnetic Soft Actuators System Based on Branch and Bound Algorithm.
IEEE Access, 2020

2019
Synergism of Deep Neural Network and ELM for Smart Very-Short-Term Load Forecasting.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

A Study of R-tree Performance in Hybrid Flash/3DXPoint Storage.
Proceedings of the 10th International Conference on Information, 2019

Extreme Interval Electricity Price Forecasting of Wholesale Markets Integrating ELM and Fuzzy Inference.
Proceedings of the 10th International Conference on Information, 2019

A Self-Pruning Classification Model for News.
Proceedings of the 10th International Conference on Information, 2019

Internet of Things Security Analytics and Solutions with Deep Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems.
Eng. Appl. Artif. Intell., 2018

Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems.
Appl. Soft Comput., 2018

Morphing to the Mean Approach of Anticipated Electricity Demand in Smart City Partitions Using Citizen Elasticities.
Proceedings of the IEEE International Smart Cities Conference, 2018

Load Management of Electric Vehicles Charging in New Generation Power Markets Based on Fuzzy Logic and the Concept of Virtual Budget.
Proceedings of the 9th International Conference on Information, 2018

Fuzzy Leaky Bucket with Application to Coordinating Smart Appliances in Smart Homes.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Integration of Gaussian Processes and Particle Swarm Optimization for Very-Short Term Wind Speed Forecasting in Smart Power.
Int. J. Monit. Surveillance Technol. Res., 2017

Editorial.
Int. J. Artif. Intell. Tools, 2017

A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm.
Proceedings of the 8th International Conference on Information, 2017

Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets.
Proceedings of the 8th International Conference on Information, 2017

Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation.
Int. J. Monit. Surveillance Technol. Res., 2016

Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach.
Int. J. Monit. Surveillance Technol. Res., 2016

Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant.
Int. J. Monit. Surveillance Technol. Res., 2016

Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems.
Int. J. Monit. Surveillance Technol. Res., 2016

Fusion of Gaussian Process Kernel Regressors for Fault Prediction in Intelligent Energy Systems.
Int. J. Artif. Intell. Tools, 2016

Multi-kernel anticipatory approach to intelligent control with application to load management of electrical appliances.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Implementing smart energy systems: Integrating load and price forecasting for single parameter based demand response.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

MatGridGUI - A toolbox for GridLAB-D simulation platform.
Proceedings of the 7th International Conference on Information, 2016

Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method.
Proceedings of the 7th International Conference on Information, 2016

Three-phase congestion prediction utilizing artificial neural networks.
Proceedings of the 7th International Conference on Information, 2016

Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids.
IEEE Trans. Smart Grid, 2015

Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification.
IJSIR, 2015

A Review of Incentive Based Demand Response Methods in Smart Electricity Grids.
Int. J. Monit. Surveillance Technol. Res., 2015

An autonomous intelligent wheelchair for assisting people at need in smart homes: A case study.
Proceedings of the 6th International Conference on Information, 2015

Anticipation of minutes-ahead household active power consumption using Gaussian processes.
Proceedings of the 6th International Conference on Information, 2015

Anomaly detection in radiation signals using kernel machine intelligence.
Proceedings of the 6th International Conference on Information, 2015

Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation.
Int. J. Monit. Surveillance Technol. Res., 2014

Demos: A Distributed Model based on Autonomous, Intelligent Agents with Monitoring and Anticipatory Responses for Energy Management in Smart Cities.
Int. J. Monit. Surveillance Technol. Res., 2014

Assessment of Fuzzy Logic Radioisotopic Pattern Identifier on Gamma-Ray Signals with Application to Security.
Int. J. Monit. Surveillance Technol. Res., 2014

Fuzzy Integration of Support Vector Regression Models for Anticipatory Control of Complex Energy Systems.
Int. J. Monit. Surveillance Technol. Res., 2014

Creep rupture forecasting for high performance energy systems.
Proceedings of the 5th International Conference on Information, 2014

Virtual cost approach: Electricity consumption scheduling for smart grids/cities in price-directed electricity markets.
Proceedings of the 5th International Conference on Information, 2014

Anticipatory monitoring and control of complex energy systems using a fuzzy based fusion of support vector regressors.
Proceedings of the 5th International Conference on Information, 2014

2013
A Conceptual Model for Integrative Monitoring of Nuclear Power Plants Operational Activities Based on Historical Nuclear Incidents and Accidents.
Int. J. Monit. Surveillance Technol. Res., 2013

Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection.
Int. J. Monit. Surveillance Technol. Res., 2013

Layered-based approach to virtual storage for smart power systems.
Proceedings of the 4th International Conference on Information, 2013

Application of support vector regression in removing Poisson fluctuation from pulse height gamma-ray spectra.
Proceedings of the 4th International Conference on Information, 2013

2012
Optimal Assembly of Support Vector Regressors with Application to System Monitoring.
Int. J. Artif. Intell. Tools, 2012

2010
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization.
Proceedings of the Energy-Efficient Computing and Networking, 2010

2009
LG-Graph Based Detection of NRF Spectrum Signatures: Initial Results and Comparison.
Proceedings of the ICTAI 2009, 2009

Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm.
Proceedings of the ICTAI 2009, 2009

Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation.
Proceedings of the ICTAI 2009, 2009

Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials.
Proceedings of the ICTAI 2009, 2009


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