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Renewable Energy for Buildings: Technology, Control, and Operational Techniques

1, 2022

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Intelligent approach for residential load scheduling

IET generation, transmission & distribution, 2020-11, Vol.14 (21), p.4738-4745

2020

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Application of Machine Learning and Deep Learning Methods to Power System Problems

1st ed. 2021., 2021

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Robust scheduling of multi-chiller system with chilled-water storage under hourly electricity pricing

Energy and buildings, 2020-07, Vol.218, p.110058, Article 110058

2020

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The Impact of Large Deployment of Distributed Solar Photovoltaic at the Urban Scale on the Building Performance and the Correlation Between Energy Supply and Demand Over the Grid

Renewable Energy for Buildings, 2022, p.19-45

2022

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Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Load Forecasting in Power System

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.119-135

2021

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Non-invasive physical demand assessment using wearable respiration sensor and random forest classifier

Journal of Building Engineering, 2021-12, Vol.44, p.103279, Article 103279

2021

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Introduction and Literature Review of Building Components with Passive Thermal Energy Storage Systems

Renewable Energy for Buildings, 2022, p.1-18

2022

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A Survey on Home Energy Management Systems with Viewpoints of Concepts, Configurations, and Infrastructures

Renewable Energy for Buildings, 2022, p.61-76

2022

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Occupancy Data Sensing, Collection, and Modeling for Residential Buildings

Renewable Energy for Buildings, 2022, p.103-121

2022

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Deep Learning-Assisted Solar Radiation Forecasting for Photovoltaic Power Generation Management in Buildings

Renewable Energy for Buildings, 2022, p.47-59

2022

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A Survey of Recent Particle Swarm Optimization (PSO)-Based Clustering Approaches to Energy Efficiency in Wireless Sensor Networks

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.137-150

2021

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The Adaptive Neuro-Fuzzy Inference System Model for Short-Term Load, Price, and Topology Forecasting of Distribution System

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.321-343

2021

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Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Processing and Machine Learning

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.265-287

2021

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Prediction of Out-of-Step Condition for Synchronous Generators Using Decision Tree Based on the Dynamic Data by WAMS/PMU

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.289-319

2021

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Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Control Problems of Power Systems

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.83-117

2021

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Power System Challenges and Issues

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.1-17

2021

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Voltage Stability Assessment in Power Grids Using Novel Machine Learning-Based Methods

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.177-210

2021

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Machine Learning and Power System Planning: Opportunities and Challenges

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.45-59

2021

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Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Appliances

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.345-355

2021

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Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.249-263

2021

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Introduction to Machine Learning Methods in Energy Engineering

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.61-82

2021

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Introduction and Literature Review of Power System Challenges and Issues

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.19-43

2021

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Machine Learning Approaches in a Real Power System and Power Markets

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.357-378

2021

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LSTM-Assisted Heating Energy Demand Management in Residential Buildings

Application of Machine Learning and Deep Learning Methods to Power System Problems, 2021, p.237-248

2021

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Renewable Energy for Buildings: Technology, Control, and Operational Techniques

Intelligent approach for residential load scheduling

Application of Machine Learning and Deep Learning Methods to Power System Problems

Robust scheduling of multi-chiller system with chilled-water storage under hourly electricity pricing

The Impact of Large Deployment of Distributed Solar Photovoltaic at the Urban Scale on the Building Performance and the Correlation Between Energy Supply and Demand Over the Grid

Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Load Forecasting in Power System

Non-invasive physical demand assessment using wearable respiration sensor and random forest classifier

Introduction and Literature Review of Building Components with Passive Thermal Energy Storage Systems

A Survey on Home Energy Management Systems with Viewpoints of Concepts, Configurations, and Infrastructures

Occupancy Data Sensing, Collection, and Modeling for Residential Buildings

Deep Learning-Assisted Solar Radiation Forecasting for Photovoltaic Power Generation Management in Buildings

A Survey of Recent Particle Swarm Optimization (PSO)-Based Clustering Approaches to Energy Efficiency in Wireless Sensor Networks

The Adaptive Neuro-Fuzzy Inference System Model for Short-Term Load, Price, and Topology Forecasting of Distribution System

Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Processing and Machine Learning

Prediction of Out-of-Step Condition for Synchronous Generators Using Decision Tree Based on the Dynamic Data by WAMS/PMU

Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Control Problems of Power Systems

Power System Challenges and Issues

Voltage Stability Assessment in Power Grids Using Novel Machine Learning-Based Methods

Machine Learning and Power System Planning: Opportunities and Challenges

Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Appliances

Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques

Introduction to Machine Learning Methods in Energy Engineering

Introduction and Literature Review of Power System Challenges and Issues

Machine Learning Approaches in a Real Power System and Power Markets

LSTM-Assisted Heating Energy Demand Management in Residential Buildings

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