Hybrid deep learning models for time series forecasting of solar power
Forecasting solar power production accurately is critical for effectively planning and
managing renewable energy systems. This paper introduces and investigates novel hybrid …
managing renewable energy systems. This paper introduces and investigates novel hybrid …
Optimal deep learning control for modernized microgrids
SR Yan, W Guo, A Mohammadzadeh… - Applied Intelligence, 2023 - Springer
In this study, a new control approach is introduced for active/reactive power control in
modernized microgrids (MMGs). The dynamics of MMG are considered to be unknown and a …
modernized microgrids (MMGs). The dynamics of MMG are considered to be unknown and a …
Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems
T Anu Shalini, B Sri Revathi - Automatika: časopis za automatiku …, 2023 - hrcak.srce.hr
Sažetak This paper presents the design of a grid-connected hybrid system using modified Z
source converter, bidirectional converter and battery storage system. The input sources for …
source converter, bidirectional converter and battery storage system. The input sources for …
A Multi-Factor Selection and Fusion Method through the CNN-LSTM Network for Dynamic Price Forecasting
Y Liu, C Yang, K Huang, W Liu - Mathematics, 2023 - mdpi.com
Commodity prices are important factors for investment management and policy-making, and
price forecasting can help in making better business decisions. Due to the complex and …
price forecasting can help in making better business decisions. Due to the complex and …
Spatiotemporal Predictive Geo-Visualization of Criminal Activity for Application to Real-Time Systems for Crime Deterrence, Prevention and Control
M Salcedo-Gonzalez, J Suarez-Paez, M Esteve… - … International Journal of …, 2023 - mdpi.com
This article presents the development of a geo-visualization tool, which provides police
officers or any other type of law enforcement officer with the ability to conduct the …
officers or any other type of law enforcement officer with the ability to conduct the …
Efficiency of the evolutionary methods on the optimal design of secant pile retaining systems in a deep excavation
Deep large excavations in urban areas are an important engineering challenge, whereas
secant piling techniques are among the best solutions to have a safe workplace …
secant piling techniques are among the best solutions to have a safe workplace …
Adaptive Encoder-Decoder Model Considering Spatio-Temporal Features for Short-Term Power Prediction of Distributed Photovoltaic Station
X Dou, Y Deng, S Wang, T Chu, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Considering the impact of operation and maintenance costs and technology, there is
generally a lack of sufficient meteorological observation devices within the distributed …
generally a lack of sufficient meteorological observation devices within the distributed …
Role of machine learning algorithms for wind power generation prediction in renewable energy management
T Anushalini, B Sri Revathi - IETE Journal of Research, 2023 - Taylor & Francis
The electrical energy demand is growing every day. Fossil fuel-based electrical power
generation pollutes the environment. So, to fulfil the electrical energy demand, clean …
generation pollutes the environment. So, to fulfil the electrical energy demand, clean …
Linguistic-Based MCDM Approach for Climate Change Risk Evaluation Methodology
Conventional production networks that focus on optimizing budgets and increasing
productivity often give way to vulnerabilities, which are under threat by external shocks that …
productivity often give way to vulnerabilities, which are under threat by external shocks that …
Power generation forecasting using deep learning CNN-based BILSTM technique for renewable energy systems
T Anu Shalini, B Sri Revathi - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
This paper presents the design of a grid connected hybrid system using modified Z source
converter, bidirectional converter and battery storage system. The input sources for the …
converter, bidirectional converter and battery storage system. The input sources for the …