A comparative study of different deep learning models for mid-term solar power prediction

R Sivanand, J Singh, A Ali, A Khan… - … on Advance Computing …, 2021‏ - ieeexplore.ieee.org
Solar energy is an abundant and renewable form of energy that is the answer to the
increasing energy requirements of today's world. Since the prediction of solar radiation …

A machine learning approach for wind speed forecasting

S Krishnaveni, J Singh, K Verma… - 2021 International …, 2021‏ - ieeexplore.ieee.org
Renewable energy production is increasing worldwide. In all the available renewable
sources of energy wind energy has a major stake after hydro energy. However, intermittent …

Deep Learning Based Solar Power Forecasting with Improved Representation

FS Correa - 2023 International Conference on Power Energy …, 2023‏ - ieeexplore.ieee.org
The growing number of solar power plants is making it a viable option for renewable energy
sources to meet the energy needs of communities. Moreover, accurate prediction of output …

Sustainable Energy Solution for Cold Storage Planning and Assessment

A Singh - 2023 International Conference on Power Energy …, 2023‏ - ieeexplore.ieee.org
Energy is a prime commodity in the entire urbanization process across the globe. In the
fabric of urbanization, Islands have major setback in energy generation, raw material …

Ürgüp Bölgesinde Olasılık Dağılımları ile GaAs Tip PV Enerji Üretim Potansiyelinin Modellenmesi

İ Mert - Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi …‏ - dergipark.org.tr
Ürgüp Türkiye'nin önemli turizm çekim merkezlerinden biridir. Turizm sektöründe tesislerin
yüksek enerji çeken havalandırma, çamaşırhane ve soğuk depoları gibi birimlerinde …