A machine learning forecasting model for COVID-19 pandemic in India
Sign Up to like & getrecommendations! Published in 2020 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-020-01827-8
Abstract: Coronavirus disease (COVID-19) is an inflammation disease from a new virus. The disease causes respiratory ailment (like influenza) with manifestations, for example, cold, cough and fever, and in progressively serious cases, the problem in breathing.… read more here.
Keywords: machine learning; learning forecasting; covid 2019; covid ... See more keywords
Ionospheric scintillation forecasting model based on NN-PSO technique
Sign Up to like & getrecommendations! Published in 2017 at "Astrophysics and Space Science"
DOI: 10.1007/s10509-017-3144-6
Abstract: The forecasting and modeling of ionospheric scintillation effects are crucial for precise satellite positioning and navigation applications. In this paper, a Neural Network model, trained using Particle Swarm Optimization (PSO) algorithm, has been implemented for… read more here.
Keywords: ionospheric scintillation; scintillation; pso; scintillation forecasting ... See more keywords
Real-Time Flow Forecasting in a Watershed Using Rainfall Forecasting Model and Updating Model
Sign Up to like & getrecommendations! Published in 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02398-2
Abstract: Watershed is the basic unit for studying different hydrologic processes. Flow forecasting in a watershed is dependent upon the rainfall. The effect of erroneous rainfall prediction is a source of uncertainty in flow forecasting. In… read more here.
Keywords: time; model; flow forecasting; forecasting model ... See more keywords
A combination forecasting model of wind speed based on decomposition
Sign Up to like & getrecommendations! Published in 2021 at "Energy Reports"
DOI: 10.1016/j.egyr.2021.02.002
Abstract: Abstract Due to the intermittent, fluctuating and random characteristics of wind system, the output of wind power will become unstable with the change of wind, which brings severe challenges to the safe and stable operation… read more here.
Keywords: speed; wind speed; forecasting model;
A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.118106
Abstract: Abstract The increasing growth of renewable energy resources (RESs) in microgrids and the uncertainty associated with their generation have led to problems in the management of smart active distribution networks. One of the main challenges… read more here.
Keywords: deep neural; load forecasting; net load; forecasting model ... See more keywords
Metabolism and difference iterative forecasting model based on long-range dependent and grey for gearbox reliability.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.05.002
Abstract: The reliability prediction of gearbox is a complex and challenging topic. The purpose of this research is to propose a hybrid difference iterative forecasting model to forecast reliability of the gearbox. On this score, a… read more here.
Keywords: metabolism; model; gearbox; forecasting model ... See more keywords
Forecasting model of activities of the city-level for management of CO2 emissions applicable to various cities.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2021.112210
Abstract: CO2 reduction has become one of the most critical issues globally, and considering sustainable development, many countries are implementing and reviewing CO2 reduction policies. To examine the effect of the CO2 reduction policies, a forecasting… read more here.
Keywords: co2 reduction; co2 emissions; co2; model ... See more keywords
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Sign Up to like & getrecommendations! Published in 2019 at "Renewable Energy"
DOI: 10.1016/j.renene.2019.05.039
Abstract: Abstract Wind speed forecasting can effectively improve the safety and reliability of wind energy generation system. In this study, a novel hybrid short-term wind speed forecasting model is proposed based on the SSA (Singular Spectrum… read more here.
Keywords: singular spectrum; spectrum analysis; model; forecasting model ... See more keywords
Applying a Markov chain for the stock pricing of a novel forecasting model
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1083108
Abstract: ABSTRACT In this article, a stock-forecasting model is developed to analyze a company's stock price variation related to the Taiwanese company HTC. The main difference to previous articles is that this study uses the data… read more here.
Keywords: markov chain; stock; forecasting model;
PM2.5 Forecasting Model Using a Combination of Deep Learning and Statistical Feature Selection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077574
Abstract: This paper proposed a PM 2.5 forecasting model using Long Short-Term Model (LSTM) sequence to sequence combined with the statistical method. Correlation Analysis, XGBoost, and Chemical processed are used as the methods to select the… read more here.
Keywords: model using; pm2 forecasting; model; forecasting model ... See more keywords
FFM: Flood Forecasting Model Using Federated Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252896
Abstract: Floods are one of the most common natural disasters that occur frequently causing massive damage to property, agriculture, economy and life. Flood prediction offers a huge challenge for researchers struggling to predict floods since long… read more here.
Keywords: flood; federated learning; model using; forecasting model ... See more keywords