Browsing by Subject "Forecasting"
Now showing items 21-40 of 41
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Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
( American Society of Mechanical Engineers (ASME) , 2015 , Conference Paper)In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ... -
ICDAR 2013 competition on gender prediction from handwriting
( IEEE , 2013 , Conference Paper)The prediction of gender from handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare ... -
Load shedding and forecasting in distribution systems with PV-based distributed generation and electric vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The aim of the paper is to investigate the load shedding and forecasting in distribution networks with PV-based Distributed Generation (DG) and Plug-in Electric Vehicles (PEVs). Advancement in technology, especially in the ... -
Long-term performance analysis and power prediction of PV technology in the State of Qatar
( Elsevier Ltd , 2017 , Article)?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ... -
Mechanistic modeling of wellbore cleanout in horizontal and inclined wells
( Society of Petroleum Engineers , 2021 , Conference Paper)The accumulation of rock cuttings, proppant, and other solid debris in the wellbore due to inadequatecleanout remarkably impedes field operations. This article presents a new hole cleaning model, whichcalculates the Critical ... -
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
( Elsevier , 2023 , Article)Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ... -
Power Generation Voting Prediction Model of Floating Photovoltaic System
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Solar energy is the most promising renewable energy within the Gulf area as annual solar irradiance is among the highest in the world (>2000kWh/m2). Therefore, countries within the Gulf area have focused their energy ... -
Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer
( Elsevier Ltd , 2021 , Article)This paper aims at developing an artificial intelligence model to forecast the water yield of a modified solar distiller integrated with evacuated tubes and an external condenser. The model consists of a hybrid long ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
Real-time throughput prediction for cognitive Wi-Fi networks
( Academic Press , 2020 , Article)Wi-Fi as a wireless networking technology has become a widely acceptable commonplace. Over the course of time, the applications landscape of Wi-Fi networks is growing tremendously. The proliferation of new services is ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
( IEEE Computer Society , 2019 , Conference Paper)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ... -
Short-term probabilistic building load forecasting based on feature integrated artificial intelligent approach
( Elsevier Ltd , 2022 , Article)Due to various influential factors that lead to instability and volatility of the building load, short-term building load forecasting is a gruelling task. This paper proposes a hybrid short-term building load probability ... -
Smart Edge Healthcare Data Sharing System
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ... -
The effect of PCM placement on torso cooling vest for an active human in hot environment
( Elsevier Ltd , 2016 , Article)The distribution of phase change material (PCM) packets on a cooling vest worn by active human in hot environments is investigated using an integrated fabric-PCM and bio-heat model. The model considered the effect of added ... -
Transcoding resources forecasting and reservation for crowdsourced live streaming
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)During the last decade, empowered by the technological advances of mobile devices and the revolution of wireless mobile network access, crowdsourced live streaming has become more popular. Ensuring a stable high-quality ... -
Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
( American Society of Mechanical Engineers (ASME) , 2015 , Article)Gas turbines are faced with new challenges of increasing flexibility in their operation while reducing their life cycle costs, leading to new research priorities and challenges. One of these challenges involves the ... -
Urban air pollution monitoring system with forecasting models
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)A system for monitoring and forecasting urban air pollution is presented in this paper. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These ... -
Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal
( Elsevier Inc. , 2019 , Article)This study examines the diversification and hedging properties of Bitcoin (BTC) and gold assets for oil and S&P GSCI investors. We model and forecast the volatility performance of the pairs BTC–oil, gold–oil, BTC–S&P GSCI, ... -
Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal
( Elsevier , 2019 , Article)This study examines the diversification and hedging properties of Bitcoin (BTC) and gold assets for oil and S&P GSCI investors. We model and forecast the volatility performance of the pairs BTC-oil, gold-oil, BTC-S&P GSCI, ...