[HTML][HTML] Increasing the resolution of solar and wind time series for energy system modeling: A review
Bottom-up energy system models are often based on hourly time steps due to limited
computational tractability or data availability. However, in order to properly assess the …
computational tractability or data availability. However, in order to properly assess the …
[HTML][HTML] A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Biodiesel as a renewable alternative to conventional diesel is a growing topic of interest due
to its potential environmental benefits. It is typically produced from oilseed crops such as …
to its potential environmental benefits. It is typically produced from oilseed crops such as …
A Machine Learning-Based Sustainable Energy Management of Wind Farms Using Bayesian Recurrent Neural Network.
The sustainable management of energy sources such as wind plays a crucial role in
supplying electricity for both residential and industrial purposes. For this, accurate wind data …
supplying electricity for both residential and industrial purposes. For this, accurate wind data …
Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
Agriculture holds a crucial position in maintaining livelihoods and securing food sources,
particularly in nations such as Ethiopia, where a substantial portion of the population …
particularly in nations such as Ethiopia, where a substantial portion of the population …
Prediction of Electricity Generation Using Onshore Wind and Solar Energy in Germany
Renewable energy production is one of the most important strategies to reduce the emission
of greenhouse gases. However, wind and solar energy especially depend on time-varying …
of greenhouse gases. However, wind and solar energy especially depend on time-varying …
Концепция интеллектуальной системы геоэкологического мониторинга
СН Верзунов - Проблемы автоматики и управления, 2023 - pau.imash.kg
Аннотация В данной работе проводится анализ применения искусственного
интеллекта и машинного обучения в области геоэкологического мониторинга …
интеллекта и машинного обучения в области геоэкологического мониторинга …
[HTML][HTML] Wind speed prediction for hybrid-based energy integration
Wind energy has been widely explored and utilized as a renewable energy source. The
integration of wind energy with other energy sources has been going well and to strengthen …
integration of wind energy with other energy sources has been going well and to strengthen …
The Intelligent Data Analysis Techniques and its Significant Impact on Managing Renewable Energy Resources
Accelerated technological development has a significant role in highly increasing energy
demand, which enhances the interest of companies and governments in adopting …
demand, which enhances the interest of companies and governments in adopting …
Renewable Energy Trends in Future Prospect Analyzed by XGBoost-A Time Series Analysis
This research study investigates the renewable energy perspective for the future generation
prompt analysis using the time series model XGBoost. This is very important analysis to …
prompt analysis using the time series model XGBoost. This is very important analysis to …
[PDF][PDF] Discover Agriculture
NE Benti, MD Chaka, AG Semie, B Warkineh… - 2024 - researchgate.net
Agriculture holds a crucial position in maintaining livelihoods and securing food sources,
particularly in nations such as Ethiopia, where a substantial portion of the population …
particularly in nations such as Ethiopia, where a substantial portion of the population …