Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
[HTML][HTML] Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
The increase of road traffic in large cities during the last years has produced that long and
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …
Wind turbine energy forecasting using real wind farm's measurement data and performance of gene expression programming analytical model in comparison to …
Z Mehmood, Z Wang - International Journal of Green Energy, 2025 - Taylor & Francis
Forecasting wind power is vital to ensure steady, sustainable, and renewable energy. The
complex nonlinear nature of wind flow and its interrelated factors make power prediction …
complex nonlinear nature of wind flow and its interrelated factors make power prediction …
Soft sensor modeling of steel pickling concentration based on IGEP algorithm
L Wang, Y Xin, X Gao, L Zhang… - Canadian Metallurgical …, 2024 - Taylor & Francis
Accurate measurement of acid concentration is paramount for ensuring the quality of strip
steel pickling. Online measurement, a method that reduces operational complexity and lags …
steel pickling. Online measurement, a method that reduces operational complexity and lags …
Review on Economic Analysis of Grid-tied Battery Storage Systems and Optimization Strategies
W Gammanpila, N Jayasooriya… - … of Conference on …, 2024 - journals.sjp.ac.lk
This comprehensive review paper provides an in-depth exploration of the landscape of
energy management strategies within the context of emerging energy markets. It …
energy management strategies within the context of emerging energy markets. It …