As power systems become more complex with the increased integration of renewable energy, the ability to control and suppress harmonics will be crucial for maintaining system reliability and efficiency ⚡🔋 Authors review recent methods to detect, suppress, and estimate harmonic distortions in power systems. They highlight traditional approaches like Fourier analysis and newer techniques such as machine learning, while exploring tools like filters and models that improve performance in modern grids with renewable energy and electric vehicles. See the full paper by Noman Shabbir & colleagues: "A Review of Harmonic Detection, Suppression, Aggregation, and Estimation Techniques" published in Applied Sciences MDPI 👇 #Harmonics #PowerQuality #ElectricalEngineering #HarmonicFilters #EnergyEfficiency #PowerElectronics #HarmonicDistortion #EnergyManagement #TalTech
🔥 Read our Review Paper 📚 A Review of Harmonic Detection, Suppression, Aggregation, and Estimation Techniques 🔗 https://lnkd.in/g2Z-JSDr 👨🔬 by Kamran Daniel, Lauri Kütt, Muhammad Naveed Iqbal, Noman Shabbir, Hadi Ashraf Raja and Muhammad Usman Sardar 🏫 TalTech – Tallinn University of Technology #harmonicdetection #harmonicsuppression