Deep learning-based effective fine-grained weather forecasting model
It is well-known that numerical weather prediction (NWP) models require considerable
computer power to solve complex mathematical equations to obtain a forecast based on …
computer power to solve complex mathematical equations to obtain a forecast based on …
Online forecasting and anomaly detection based on the ARIMA model
Real-time diagnostics of complex technical systems such as power plants are critical to keep
the system in its working state. An ideal diagnostic system must detect any fault in advance …
the system in its working state. An ideal diagnostic system must detect any fault in advance …
[HTML][HTML] Using recurrent neural networks for localized weather prediction with combined use of public airport data and on-site measurements
Weather data is a crucial input for myriad applications in the built environment, including
building energy modeling and daylight analysis. Building science practitioners and …
building energy modeling and daylight analysis. Building science practitioners and …
A study of time series models ARIMA and ETS
The aim of the study is to introduce some approach which might help in improving daily
temperature of data. Weather is a natural a phenomenon for which forecasting is a great …
temperature of data. Weather is a natural a phenomenon for which forecasting is a great …
Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas
Dengue is a vector-borne disease transmitted by the Aedes genus mosquito. It causes
financial burdens on public health systems and considerable morbidity and mortality …
financial burdens on public health systems and considerable morbidity and mortality …
Prediction of precipitation based on recurrent neural networks in Jingdezhen, Jiangxi Province, China
Precipitation is a critical input for hydrologic simulation and prediction, and is widely used for
agriculture, water resources management, and prediction of flood and drought, among other …
agriculture, water resources management, and prediction of flood and drought, among other …
Trading bitcoin and online time series prediction
Given live streaming Bitcoin activity, we aim to forecast future Bitcoin prices so as to execute
profitable trades. We show that Bitcoin price data exhibit desirable properties such as …
profitable trades. We show that Bitcoin price data exhibit desirable properties such as …
Precipitation forecasting in Northern Bangladesh using a hybrid machine learning model
Precipitation forecasting is essential for the assessment of several hydrological processes.
This study shows that based on a machine learning approach, reliable models for …
This study shows that based on a machine learning approach, reliable models for …
An integrated approach for weather forecasting over Internet of Things: A brief review
G Chavan, B Momin - 2017 international conference on I-SMAC …, 2017 - ieeexplore.ieee.org
Weather forecasting has been major challenge due to uncertain nature of climatic
conditions. Due to advancement in domain of Internet of Things (IoT), weather monitoring …
conditions. Due to advancement in domain of Internet of Things (IoT), weather monitoring …
Monthly rainfall forecast of Bangladesh using autoregressive integrated moving average method
Rainfall is one of the most important phenomena of the natural system. In Bangladesh,
agriculture largely depends on the intensity and variability of rainfall. Therefore, an early …
agriculture largely depends on the intensity and variability of rainfall. Therefore, an early …