Search
Now showing items 1-10 of 37
A comparative analysis to forecast carbon dioxide emissions
(
Elsevier Ltd
, 2022 , Article)
Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ...
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, ...
ANN Model for Energy Demand and Supply Forecasting in a Hybrid Energy Supply System
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
This paper presents short term demand and supply forecasting model for a microgrid supply system used to secure the electricity demands of a commercial building, using one year demand data collected in hourly base. One-year ...
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 ...
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 ...
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 ...
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 ...
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The coronavirus disease 2019 (COVID-19) after outbreaking in Wuhan increasingly spread throughout the world. Fast, reliable, and easily accessible clinical assessment of the severity of the disease can help in allocating ...
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
(
International Petroleum Technology Conference (IPTC)
, 2022 , Conference Paper)
This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...