Taxonomy research of artificial intelligence for deterministic solar power forecasting

H Wang, Y Liu, B Zhou, C Li, G Cao, N Voropai… - Energy Conversion and …, 2020 - Elsevier
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research …

AR Pazikadin, D Rifai, K Ali, MZ Malik… - Science of The Total …, 2020 - Elsevier
The increased demand for solar renewable energy sources has created recent interest in
the economic and technical issues related to the integration of Photovoltaic (PV) into the …

An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network

P Singla, M Duhan, S Saroha - Earth Science Informatics, 2022 - Springer
In recent years, the penetration of solar power at residential and utility levels has progressed
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …

[HTML][HTML] Trends and gaps in photovoltaic power forecasting with machine learning

A Alcañiz, D Grzebyk, H Ziar, O Isabella - Energy Reports, 2023 - Elsevier
The share of solar energy in the electricity mix increases year after year. Knowing the
production of photovoltaic (PV) power at each instant of time is crucial for its integration into …

A comprehensive review of Artificial Intelligence (AI) companies in the power sector

V Franki, D Majnarić, A Višković - Energies, 2023 - mdpi.com
There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …

Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review

J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

A comprehensive review and analysis of solar forecasting techniques

P Singla, M Duhan, S Saroha - Frontiers in Energy, 2021 - Springer
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …

Future challenges and mitigation methods for high photovoltaic penetration: A survey

TO Olowu, A Sundararajan, M Moghaddami, AI Sarwat - Energies, 2018 - mdpi.com
Integration of high volume (high penetration) of photovoltaic (PV) generation with power
grids consequently leads to some technical challenges that are mainly due to the intermittent …

Review of smart city energy modeling in Southeast Asia

M Shafiullah, S Rahman, B Imteyaz, MK Aroua… - Smart Cities, 2022 - mdpi.com
The Southeast Asian region has been eagerly exploring the concepts of smart city initiatives
in recent years due to the enormous opportunities and potential. The initiatives are in line …

[HTML][HTML] Solar energy system concept change from trending technology: A comprehensive review

V Khare, P Chaturvedi, M Mishra - e-Prime-Advances in Electrical …, 2023 - Elsevier
Population growth and technological improvements are driving up energy demand at all
over the world. Due to the lavishness of sunlight, the demand for solar energy for …