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Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin

Energies (Basel), 2022-10, Vol.15 (20), p.7697

2022

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Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients

Scientific reports, 2023-10, Vol.13 (1), p.16840-13, Article 16840

2023

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Enhanced Short-Term Load Forecasting Using Artificial Neural Networks

Energies (Basel), 2021-11, Vol.14 (22), p.7788

2021

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Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms

Energies (Basel), 2024-04, Vol.17 (7), p.1625

2024

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Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation

Energies (Basel), 2024-06, Vol.17 (12), p.2844

2024

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Error Compensation Enhanced Day-Ahead Electricity Price Forecasting

Energies (Basel), 2022-02, Vol.15 (4), p.1466

2022

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Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting

Energies (Basel), 2022-02, Vol.15 (4), p.1295

2022

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An Incentive-Based Implementation of Demand Side Management in Power Systems

Energies (Basel), 2021-12, Vol.14 (23), p.7994

2021

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A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality

Energies (Basel), 2021-10, Vol.14 (19), p.6088

2021

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Enhanced Automated Deep Learning Application for Short-Term Load Forecasting

Mathematics (Basel), 2023-07, Vol.11 (13), p.2912

2023

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Seventy-Five Years since the Point-Contact Transistor: Germanium Revisited

Applied sciences, 2022-12, Vol.12 (23), p.11993

2022

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Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting

Electricity (Basel, Switzerland), 2022-12, Vol.3 (4), p.480-504

2022

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Monitoring of Temperature Measurements for Different Flow Regimes in Water and Galinstan with Long Short-Term Memory Networks and Transfer Learning of Sensors

Computation, 2022-07, Vol.10 (7), p.108

2022

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Kinetics of Ions in Post-Lithium Batteries

Applied sciences, 2023-09, Vol.13 (17), p.9619

2023

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Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids

IEEE transactions on smart grid, 2015-11, Vol.6 (6), p.2997-3005

2015

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Virtual Budget: Integration of electricity load and price anticipation for load morphing in price-directed energy utilization

Electric power systems research, 2018-05, Vol.158, p.284-296

2018

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Analysis of Spent Nuclear Fuel Imaging Using Multiple Coulomb Scattering of Cosmic Muons

IEEE transactions on nuclear science, 2016-12, Vol.63 (6), p.2866-2874

2016

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Development and Validation of a Battery Model Useful for Discharging and Charging Power Control and Lifetime Estimation

IEEE transactions on energy conversion, 2010-09, Vol.25 (3), p.821-835

2010

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Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions

International journal on artificial intelligence tools, 2020-08, Vol.29 (5), p.2050009

2020

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Modeling Energy Consumption and Lifetime of a Wireless Sensor Node Operating on a Contention-Based MAC Protocol

IEEE sensors journal, 2017-08, Vol.17 (16), p.5153-5168

2017

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Regression to fuzziness method for estimation of remaining useful life in power plant components

Mechanical systems and signal processing, 2014-10, Vol.48 (1-2), p.188-198

2014

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Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms

Sustainable cities and society, 2019-04, Vol.46, p.101426, Article 101426

2019

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Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Electronics (Basel), 2024-05, Vol.13 (10), p.1996

2024

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Development of a Gamma-Ray Radionuclide Library for the Identification of Gamma Spectra

Nuclear technology, 2021-08, Vol.207 (8), p.1270-1279

2021

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Advances in Artificial Intelligence-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis--Vol. 1

1st Edition 2022, 2021

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Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin

Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients

Enhanced Short-Term Load Forecasting Using Artificial Neural Networks

Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms

Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation

Error Compensation Enhanced Day-Ahead Electricity Price Forecasting

Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting

An Incentive-Based Implementation of Demand Side Management in Power Systems

A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality

Enhanced Automated Deep Learning Application for Short-Term Load Forecasting

Seventy-Five Years since the Point-Contact Transistor: Germanium Revisited

Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting

Monitoring of Temperature Measurements for Different Flow Regimes in Water and Galinstan with Long Short-Term Memory Networks and Transfer Learning of Sensors

Kinetics of Ions in Post-Lithium Batteries

Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids

Virtual Budget: Integration of electricity load and price anticipation for load morphing in price-directed energy utilization

Analysis of Spent Nuclear Fuel Imaging Using Multiple Coulomb Scattering of Cosmic Muons

Development and Validation of a Battery Model Useful for Discharging and Charging Power Control and Lifetime Estimation

Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions

Modeling Energy Consumption and Lifetime of a Wireless Sensor Node Operating on a Contention-Based MAC Protocol

Regression to fuzziness method for estimation of remaining useful life in power plant components

Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms

Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Development of a Gamma-Ray Radionuclide Library for the Identification of Gamma Spectra

Advances in Artificial Intelligence-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis--Vol. 1

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