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Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system

Renewable energy, 2013-12, Vol.60, p.202-214

2013

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Special Issue “Intelligent Control in Energy Systems”

Energies (Basel), 2019-08, Vol.12 (15), p.3017

Dounis, Anastasios

2019

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Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network

Energies (Basel), 2022-09, Vol.15 (17), p.6453

2022

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Machine Intelligence in Smart Buildings

Energies (Basel), 2023-01, Vol.16 (1), p.22

Dounis, Anastasios I.

2023

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Intelligent demand side energy management system for autonomous polygeneration microgrids

Applied energy, 2013-03, Vol.103, p.39-51

2013

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Electric Vehicle Charging Schedules in Workplace Parking Lots Based on Evolutionary Optimization Algorithm

Energies (Basel), 2023-01, Vol.16 (1), p.221

2023

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Online Tuning of a PID Controller with a Fuzzy Reinforcement Learning MAS for Flow Rate Control of a Desalination Unit

Electronics (Basel), 2019-02, Vol.8 (2), p.231

2019

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Design of a Fuzzy Cognitive Maps variable-load energy management system for autonomous PV-reverse osmosis desalination systems: A simulation survey

Applied energy, 2017-02, Vol.187, p.575-584

2017

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Multi-agent control system with information fusion based comfort model for smart buildings

Applied energy, 2012-11, Vol.99, p.247-254

2012

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A fuzzy logic energy management system for polygeneration microgrids

Renewable energy, 2012-05, Vol.41, p.315-327

2012

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Intelligent Medical Diagnosis Reasoning Using Composite Fuzzy Relation, Aggregation Operators and Similarity Measure of q-Rung Orthopair Fuzzy Sets

Applied sciences, 2023-12, Vol.13 (23), p.12553

2023

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Integration of plug-in hybrid electric vehicles into energy and comfort management for smart building

Energy and buildings, 2012-04, Vol.47, p.260-266

2012

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Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel

Applied energy, 2011-12, Vol.88 (12), p.4517-4526

2011

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Review of Intelligent Methods and Their Potential Use towards a Smart Grid Negotiation Framework

Applied sciences, 2024-06, Vol.14 (12), p.5196

2024

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Energy management in solar microgrid via reinforcement learning using fuzzy reward

Advances in building energy research, 2018-01, Vol.12 (1), p.97-115

2018

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An ANFIS-Fuzzy Tree-GA Model for a Hospital’s Electricity Purchasing Decision-Making Process Integrated with Virtual Cost Concept

Sustainability, 2023-05, Vol.15 (10), p.8419

2023

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Maximum Power Point Tracking Based on Reinforcement Learning Using Evolutionary Optimization Algorithms

Energies (Basel), 2021-01, Vol.14 (2), p.335

2021

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Co-simulation of fuzzy control in buildings and the HVAC system using BCVTB

Advances in building energy research, 2018-07, Vol.12 (2), p.195-216

2018

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Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

Energies (Basel), 2021-08, Vol.14 (16), p.4971

2021

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Fuzzy Q-Learning Agent for Online Tuning of PID Controller for DC Motor Speed Control

Algorithms, 2018-10, Vol.11 (10), p.148

2018

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A direct adaptive neural control for maximum power point tracking of photovoltaic system

Solar energy, 2015-05, Vol.115, p.145-165

2015

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Fast Tuning of the PID Controller in An HVAC System Using the Big Bang–Big Crunch Algorithm and FPGA Technology

Algorithms, 2018-10, Vol.11 (10), p.146

2018

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Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models

Applied sciences, 2019-09, Vol.9 (17), p.3543

2019

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An FPGA-Based Accelerated Optimization Algorithm for Real-Time Applications

Journal of signal processing systems, 2020-10, Vol.92 (10), p.1155-1176

2020

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Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms

Applied sciences, 2023-09, Vol.13 (18), p.10401

2023

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Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system

Special Issue “Intelligent Control in Energy Systems”

Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network

Machine Intelligence in Smart Buildings

Intelligent demand side energy management system for autonomous polygeneration microgrids

Electric Vehicle Charging Schedules in Workplace Parking Lots Based on Evolutionary Optimization Algorithm

Online Tuning of a PID Controller with a Fuzzy Reinforcement Learning MAS for Flow Rate Control of a Desalination Unit

Design of a Fuzzy Cognitive Maps variable-load energy management system for autonomous PV-reverse osmosis desalination systems: A simulation survey

Multi-agent control system with information fusion based comfort model for smart buildings

A fuzzy logic energy management system for polygeneration microgrids

Intelligent Medical Diagnosis Reasoning Using Composite Fuzzy Relation, Aggregation Operators and Similarity Measure of q-Rung Orthopair Fuzzy Sets

Integration of plug-in hybrid electric vehicles into energy and comfort management for smart building

Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel

Review of Intelligent Methods and Their Potential Use towards a Smart Grid Negotiation Framework

Energy management in solar microgrid via reinforcement learning using fuzzy reward

An ANFIS-Fuzzy Tree-GA Model for a Hospital’s Electricity Purchasing Decision-Making Process Integrated with Virtual Cost Concept

Maximum Power Point Tracking Based on Reinforcement Learning Using Evolutionary Optimization Algorithms

Co-simulation of fuzzy control in buildings and the HVAC system using BCVTB

Computational Intelligence Technologies for Occupancy Estimation and Comfort Control in Buildings

Fuzzy Q-Learning Agent for Online Tuning of PID Controller for DC Motor Speed Control

A direct adaptive neural control for maximum power point tracking of photovoltaic system

Fast Tuning of the PID Controller in An HVAC System Using the Big Bang–Big Crunch Algorithm and FPGA Technology

Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models

An FPGA-Based Accelerated Optimization Algorithm for Real-Time Applications

Hybrid Intelligent Pattern Recognition Systems for Mass Segmentation and Classification: A Pilot Study on Full-Field Digital Mammograms

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