Forecasting the state-of-charge of batteries in micro-grid systems
Micro-grid (MG) systems are increasingly deployed on buildings in order to enhance energy
efficiency while maintaining occupants' comfort. A MG system includes renewable energy …
efficiency while maintaining occupants' comfort. A MG system includes renewable energy …
[HTML][HTML] Modeling the changes in water balance components of the highly irrigated western part of Bangladesh
ATMS Rahman, MS Ahmed, HM Adnan… - Hydrology and Earth …, 2018 - hess.copernicus.org
The objectives of the present study were to explore the changes in the water balance
components (WBCs) by co-utilizing the discrete wavelet transform (DWT) and different forms …
components (WBCs) by co-utilizing the discrete wavelet transform (DWT) and different forms …
Examining the Nigerian stock market efficiency: Empirical evidence from wavelet unit root test approach
This study examines the Efficient Market Hypothesis (EMH) using data sourced on monthly
bases on the Nigerian Stock Market. We employed recently developed frequency domain …
bases on the Nigerian Stock Market. We employed recently developed frequency domain …
[PDF][PDF] Modelling and prediction of coastal Andhra rainfall using ARIMA and ANN models
PH Sekhar, K Kesavulu Poola, M Bhupathi - Int J Stat Appl Math, 2020 - academia.edu
Precipitation and climate forecasting in the Coastal Andhra are extremely needed for the
agriculture and water resource management system. Most challenging factor in this study is …
agriculture and water resource management system. Most challenging factor in this study is …
Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South Asia
Groundwater depletion in South Asia's Himalayan, transboundary Indus-Ganges-
Brahmaputra-Meghna (IGBM) rivers basin is among the highest globally. Given the high …
Brahmaputra-Meghna (IGBM) rivers basin is among the highest globally. Given the high …
Ecosystem Functioning of the Loess Plateau in China from Vegetation Restoration Relied Largely on Climate
Climate change and anthropogenic replantation are supposed to greatly change vegetation
coverage and ecosystem stability and functions, eg, net primary productivity (NPP) …
coverage and ecosystem stability and functions, eg, net primary productivity (NPP) …
Assessing institutional responses to climate change impacts in the north-eastern floodplains of Bangladesh
HMT Rahman, GM Hickey - Environmental management, 2019 - Springer
Bangladesh encounters diverse climate change impacts at different scales, which can
severely affect rural communities and livelihoods. In response, the government of …
severely affect rural communities and livelihoods. In response, the government of …
Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization
Energy operations and schedules are significantly impacted by load and energy forecasting
systems. An effective system is a requirement for a sustainable and equitable environment …
systems. An effective system is a requirement for a sustainable and equitable environment …
Simulating active layer temperature based on weather factors on the Qinghai–Tibetan Plateau using ANN and wavelet-ANN models
S Gao, Q Wu, Z Zhang, G Jiang - Cold Regions Science and Technology, 2020 - Elsevier
Active layer temperature (ALT) is an important dynamic attribute in characterization of
permafrost change. Accurate simulation of the dynamic changes of ALT is essential for …
permafrost change. Accurate simulation of the dynamic changes of ALT is essential for …
River Water Temperature Prediction Using a Hybrid Model Based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine
We propose a new method for predicting daily river water temperature (T w) using two input
variables, namely:(i) air temperature (T a); and (ii) river discharge (Q). The study was …
variables, namely:(i) air temperature (T a); and (ii) river discharge (Q). The study was …