Results 61 to 70 of about 4,896 (264)

Future climate projection across Tanzania under CMIP6 with high-resolution regional climate model

Scientific Reports
Climate change is one of the most pressing challenges faced by developing countries due to their lower adaptive capacity, with far-reaching impacts on agriculture. The mid-century period is widely regarded as a critical moment, during which adaptation is
Dawido S. Magang, Moses A. Ojara, Lou Yunsheng, Philemon H. King’uza   +3 more
doaj   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

Energy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li, Bing Qi, Rashid Ali, Abubakar Siddique, Waseem Aslam, Hongfang Pan   +5 more
wiley   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

An Evaluation System for the Online Training Programs in Meteorology and Hydrology

International Education Studies, 2009
This paper studies the current evaluation system for the online training program in meteorology and hydrology. CIPP model that includes context evaluation, input evaluation, process evaluation and product evaluation differs from Kirkpatrick model including reactions evaluation, learning evaluation, transfer evaluation and results evaluation in that the
Yong Wang, Xiefei Zhi
openaire   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

A prediction rigidity formalism for low-cost uncertainties in trained neural networks

Machine Learning: Science and Technology
Quantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain.
Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli   +3 more
doaj   +1 more source

Time Evolution of Meteorological Training and Education in India

MAUSAM
An attempt has been made to trace out the time evolution of training services of India Meteorological Department in the disciplines of General Meteorology, Agricultural Meteorology, and Meteorological instruments & telecommunication through its two World Meteorological Organization Regional Training Centre (WMO RTC) components.
SOMENATH DUTTA, Samanti Sarkar, Gaurishankar Sawaisarje, Manish Ranalkar, R. Balasubramaniam, B. Amudha, P. S. Kannan, Kuldeep Srivastava, SOURAV ADHIKARY, Bibraj R., S. I. Laskar, Sunny Chug, Yogesh Visale, Sandhya Ravikiran, A. J. Neve   +14 more
openaire   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Neural Phase Picker Trained on the Japan Meteorological Agency Unified Earthquake Catalog

Earth, Planets and Space
Abstract In Japan, one of the most seismically active nations, seismic data from various institutions are shared in real-time and made accessible via the web, which facilitates research by numerous scholars. The Japan Meteorological Agency (JMA), in collaboration with the Ministry of Education, Culture, Sports, Science, and Technology (MEXT ...
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, Shinya Katoh, Shukei Ohyanagi   +4 more
openaire   +2 more sources