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Article
Open AccessGeneralized global solar radiation forecasting model via cyber-secure deep federated learning
Recently, the increasing prevalence of solar energy in power and energy systems around the world has dramatically increased the importance of accurately predicting solar irradiance. However, the lack of access...
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Article
Open AccessPhotovoltaic array reconfiguration under partial shading conditions for maximum power extraction via knight's tour technique
This paper introduces a novel reconfiguration technique, called Knight's tour to extract maximum power from photovoltaic (PV) arrays in partial shading conditions. The Knight's tour reconfigures the PV arrays ...
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Deep Learning-Assisted Solar Radiation Forecasting for Photovoltaic Power Generation Management in Buildings
Due to its advantages and the continual availability of solar energy, photovoltaic (PV) systems have become the most popular energy production equipment in various business and residential structures. This cha...
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Active Buildings Demand Response: Provision and Aggregation
Nowadays, the world is facing energy crisis and environmental issues. This is why the energy demand is increasing in different energy sections. The buildings as a large energy consumer are critical to face wit...
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Article
A practical solution based on convolutional neural network for non-intrusive load monitoring
In recent years, the introduction of practical and useful solutions to solve the non-intrusive load monitoring (NILM) as one of the sub-sectors of energy management has posed many challenges. In this paper, an...
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LSTM-Assisted Heating Energy Demand Management in Residential Buildings
Smart heating system is one of the most efficient ways to realize indoor heating comfort. As the most energy consumption in the residential buildings is related to the heating, introducing an efficient energy ...
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Introduction to Machine Learning Methods in Energy Engineering
Nowadays, the increasing energy demand, development of smart grids, and the combination of different energy systems have led to the complexity of power systems. On the other hand, ever-expanding energy consump...
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Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Load Forecasting in Power System
Nowadays, the increment of energy demand in the world as well as the development of smart grids and the combination of different types of energy systems have led to the complexity of power systems. On the othe...
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Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques
In recent years, the development and influence of wind power in the power system have witnessed, which has led to a significant increase in the production and use of wind energy worldwide. Considering the vari...
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Introduction and Literature Review of Power System Challenges and Issues
Over many decades, the electric power industry has evolved from a single low-power generator serving a small area to highly interconnected networks serving a large number of countries, or even continents. Nowa...
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Article
Anatomical Evidence of Microbial Biofilms in an Alloplastic Nasal Implant
Recently, bacterial biofilms have been proposed as a potential cause of the extreme resistance to antibiotics and impaired host responses in potentially infected facial implants. As opposed to the bacteria in ...
