A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Modeling and optimization of environment in agricultural greenhouses for improving cleaner and sustainable crop production
Resource-use efficiency and crop yield are significant factors in the management of
agricultural greenhouse. Appropriate modeling methods effectively improve the control …
agricultural greenhouse. Appropriate modeling methods effectively improve the control …
Predicting energy consumption using LSTM, multi-layer GRU and drop-GRU neural networks
S Mahjoub, L Chrifi-Alaoui, B Marhic, L Delahoche - Sensors, 2022 - mdpi.com
With the steep rise in the development of smart grids and the current advancement in
developing measuring infrastructure, short term power consumption forecasting has recently …
developing measuring infrastructure, short term power consumption forecasting has recently …
A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting
S Urolagin, N Sharma, TK Datta - Energy, 2021 - Elsevier
Oil price plays a vital role in a country's economy. Oil price forecasting helps in making better
economic planning and decisions. The fluctuation in the oil price occurs due to several …
economic planning and decisions. The fluctuation in the oil price occurs due to several …
Control and implementation of an energy management strategy for a PV–wind–battery microgrid based on an intelligent prediction algorithm of energy production
This paper describes an energy management strategy for a DC microgrid that utilizes a
hybrid renewable energy system (HRES) composed of a photovoltaic (PV) module, a wind …
hybrid renewable energy system (HRES) composed of a photovoltaic (PV) module, a wind …
A hybrid CNN-Transformer model for ozone concentration prediction
Ozone concentration has come to the fore as an important air quality indicator. However,
ozone concentrations vary with meteorological conditions and the presence of other …
ozone concentrations vary with meteorological conditions and the presence of other …
Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management
The COVID-19 pandemic has caused a global crisis with 47,209,305 confirmed cases and
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …
Forecasting daily temperatures with different time interval data using deep neural networks
S Lee, YS Lee, Y Son - Applied Sciences, 2020 - mdpi.com
Temperature forecasting has been a consistent research topic owing to its significant effect
on daily lives and various industries. However, it is an ever-challenging task because …
on daily lives and various industries. However, it is an ever-challenging task because …
Long short term memory (LSTM) recurrent neural network (RNN) for discharge level prediction and forecast in Cimandiri river, Indonesia
Y Sudriani, I Ridwansyah… - IOP Conference series …, 2019 - iopscience.iop.org
Cimandiri watershed in Sukabumi prefecture of West Java, Indonesia, has been used for
profitable activities such as power plant, rafting tourism, drinking water, and municipal …
profitable activities such as power plant, rafting tourism, drinking water, and municipal …
A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms
Accurate prediction of inlet chemical oxygen demand (COD) is vital for better planning and
management of wastewater treatment plants. The COD values at the inlet follow a complex …
management of wastewater treatment plants. The COD values at the inlet follow a complex …