Ali Agga
Impact in
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- Power Systems and Renewable Energy
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- Photovoltaic System Optimization Techniques
Papers in
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- Energy Load and Power Forecasting 5
- Smart Grid Energy Management 2
- Optimal Power Flow Distribution 1
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- Solar Radiation and Photovoltaics 3
- Co-authors
- Ahmed Abbou (5 shared papers)Yassine El Houm (4 shared papers)Moussa Labbadi (4 shared papers)Mohammed Ouassaid (1 shared paper)Mohamed Maâroufi (1 shared paper)Ali Elrashidi (1 shared paper)Hossam Kotb (1 shared paper)
- Journals
- Electric Power Systems Research (1 paper)Renewable Energy (1 paper)Frontiers in Energy Research (1 paper)International journal of intelligent engineering and systems (1 paper)
- Partner nations
- MoroccoSaudi ArabiaEgypt
In The Last Decade
Ali Agga
7 papers receiving 462 citations
Ali Agga's Hit Papers
Peers
Comparison fields: 5 of 68
- Energy Engineering and Power Technology 38
- Renewable Energy, Sustainability and the Environment 148
- Artificial Intelligence 270
- Electrical and Electronic Engineering 332
- Management Science and Operations Research 44
Countries citing papers authored by Ali Agga
This map shows the geographic impact of Ali Agga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Agga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Agga more than expected).
Fields of papers citing papers by Ali Agga
This network shows the impact of papers produced by Ali Agga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Agga. The network helps show where Ali Agga may publish in the future.
Co-authors
The 7 scholars most cited alongside Ali Agga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production Hit paper breakdown → | 2022 | 255 |
| 2 | 2021 | 192 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 1 |
About Ali Agga
Ali Agga is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 474 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (5 papers), Photovoltaic System Optimization Techniques (3 papers), Solar Radiation and Photovoltaics (3 papers), Smart Grid Energy Management (2 papers), Optimal Power Flow Distribution (1 paper), Microgrid Control and Optimization (1 paper), Stock Market Forecasting Methods (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (38 citations), Renewable Energy, Sustainability and the Environment (148 citations), Artificial Intelligence (270 citations), Electrical and Electronic Engineering (332 citations) and Management Science and Operations Research (44 citations). Ali Agga has collaborated with scholars based in Morocco, Saudi Arabia and Egypt. Frequent co-authors include Ahmed Abbou, Yassine El Houm, Moussa Labbadi, Mohammed Ouassaid, Mohamed Maâroufi, Ali Elrashidi and Hossam Kotb. Their work appears in journals such as Electric Power Systems Research, Renewable Energy, Frontiers in Energy Research and International journal of intelligent engineering and systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.