A5091329048- Energy Load and Power Forecasting
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Energy and Environment Impacts
- Hydrological Forecasting Using AI
- solar cell performance optimization
- Market Dynamics and Volatility
- Electric Power System Optimization
- Photovoltaic System Optimization Techniques
- Integrated Energy Systems Optimization
- Grey System Theory Applications
- Forecasting Techniques and Applications
- Water-Energy-Food Nexus Studies
- Wind Energy Research and Development
- Human Pose and Action Recognition
- Gait Recognition and Analysis
- Hand Gesture Recognition Systems
- Photovoltaic Systems and Sustainability
Lancaster University
2020-2022
University of Ha'il
2021
King Abdulaziz City for Science and Technology
2019-2020
Shibaura Institute of Technology
2019
Climate change mitigation is one of the most critical challenges this century. The unprecedented global effects climate are wide-ranging, including changing weather patterns that threaten food production, increased risk catastrophic floods, and rising sea levels. Adapting to these impacts will be more difficult costly in future if radical changes not made now. This review paper evaluates Gulf Cooperation Council (GCC) countries’ potential for solar wind energy resources meet requirements...
Time series modeling is an effective approach for studying and analyzing the future performance of power sector based on historical data. This study proposes a forecasting framework that applies seasonal autoregressive integrated moving average with exogenous factors (SARIMAX) model to forecast long-term electricity (electricity consumption, generation, peak load, installed capacity). In this study, was used aforementioned in Saudi Arabia 30 years from 2021 2050. The data were inputted into...
The member countries of the Gulf Cooperation Council (GCC) are reliant on fossil fuels to generate electricity. Fossil also represent main source economic income in region. Climate change is closely associated with use fuels, and it has become motivation driving GCC search for alternative solutions, such as renewable energy technologies, eliminate their reliance climate burden attached. have all adopted plans development diversification be implemented over two decades. Such strengthened by a...
Saudi Arabia fully depends on fossil fuels such as oil and natural gas to generate its electricity. Fossil may have limited life a history of fluctuating costs, which will lead multiple issues that can affect the energy security this country in long-term. Critical Infrastructure Protection (CIP) is concept different “energy security”, must consider solar wind basic sources supplies Arabia. Monte Carlo Simulation (MCS) Brownian Motion (BM) approaches were employed predict future behaviour...
The rapid growth of wind and solar energy penetration has created critical issues, such as fluctuation, uncertainty, intermittence, that influence the power system stability, grid operation, balance supply. Improving reliability accuracy predictions can enhance stability. This study aims to contribute issues fluctuation intermittence by proposing a high-quality prediction model based on neural networks (NNs). most efficient technology for analyzing future performance speed irradiance is...
Abstract Delamination of the encapsulant in photovoltaic (PV) module technology results immediate optical loss and may enable subsequent corrosion or mechanical damage. The effects artificial weathering were not previously known; therefore, an empirical study was performed to survey factors most affecting adhesion, including ultraviolet (UV) source (ie, Xe fluorescent lamp[s]), filters for lamp, chamber temperature, relative humidity. Natural also at locations, following: Golden, Colorado;...
Wind energy generation fluctuations and intermittency issues create inefficiency instability in power management. The recurrent neural networks (RNNs) prediction approaches are an essential technology that can improve wind assist management systems' performance. In this paper, a model based on Gated Recurrent Unit (GRU) is proposed to predict speed temperature values one week ahead the future at hourly intervals. GRU automatically learnt features, used fewer training parameters, required...
Renewable energy sources (RESs) become increasingly popular for futuristic cities, and play a key role the response to climate change. Hybidrizing RSs, including solar wind energy, improves overall production, however, they are intermetent in their nature. This makes it challenging scheduling management due unexpected weather conditions. The RSs forecasting is critical tool system planning, management, operations. To this end, demand-supply matching approach based on an accurate renewable...
Recurrent neural networks (RNNs) are the most effective technology to study and analyze future performance of solar irradiance. Bidirectional RNNs (BRNNs) provide key benefit manipulating data with two different hidden layers in opposite directions can feed back same layer output. In this approach, output simultaneously receive information from past (backward layers) (forward layers). A bidirectional long short-term memory (BI-LSTM) model was developed employed predict irradiance values for...
Human gait is a significant biometric feature used for the identification of people by their style walking. Gait offers recognition from distance at low resolution while requiring no user interaction. On other hand, biometrics are likely to require certain level In this paper, human method presented identify who wearing long baggy clothes like Thobe and Abaya. Microsoft Kinect sensor as tool establish skeleton based database. The joint positions obtained create five different datasets. Each...
The world's oldest, and still functional, Concentrator Photovoltaic (CPV) power plant originally rated at 350 kW, is situated 50 km from Riyadh, Saudi Arabia. There are ongoing efforts to retrofit the modules with new secondary optics triple-junction cell devices. paper characterizes initial optical train, whose design non-conventional in its use of a two-area primary Fresnel lens. first generation receiver package described. Challenges beyond encountered, including tracking structural mechanics.