This paper presents a basic Artificial Neural Network (ANN)-based control approach for shunt active power filters (SAPFs) to mitigate harmonic currents and improve power factor. Power quality (PQ) issues, such as harmonic distortion, have become a major challenge due to the increasing prevalence of nonlinear loads and electronic devices, affecting the efficiency, performance, and lifespan of electrical equipment. To address this, a MATLAB/Simulink-based dynamic model of an ANN-controlled SAPF has been developed. The study focuses on enhancing PQ by reducing harmonic disturbances under unbalanced load conditions. Through detailed simulations, the proposed ANN-controlled SAPF is evaluated under various scenarios, including linear and nonlinear loads, and compared with a conventional Proportional-Integral (PI) controller. Performance metrics such as harmonic distortion reduction, response time, system stability, and adaptability are analyzed. The study also examines hysteresis and PI controllers while comparing three-phase ANN-controlled SAPFs. Results demonstrate the superior performance of ANN-controlled SAPFs in improving PQ and reducing harmonic distortion, offering valuable insights for industrial applications.

GST implementation has had a considerable impact on businesses in India, particularly on small and medium sized businesses. With the implementation of GST, the tax burden on small and medium enterprises (SMEs) has been lowered, and the unified tax system has simplified the tax structure. Therefore, it is essential for the government of India to support SMEs grow further by helping them overcome the challenges they face GST raises many challenges to Indian SMEs.

The rising demand for renewable energy sources and the need for effective waste management have driven research into alternative bioenergy solutions. This study investigates the production and characterization of energy-dense pellets made from agricultural crop residues (wheat straw, rice husk, maize straw, mustard stalk, and lemongrass) blended with plastic mulching waste. Pellets were prepared in varying biomass-to-plastic waste ratios (85:15, 90:10, and 95:5) and analyzed for physicochemical properties such as proximate analysis, calorific value, bulk density, and stability. Results indicated that the addition of plastic waste enhanced the calorific value and mechanical durability of the pellets. Among the biomass types, lemongrass and mustard stalk demonstrated superior performance due to their low ash content, high fixed carbon, and stability. The findings highlight the potential of integrating plastic waste with agricultural residues to produce high-quality pellets for sustainable energy applications.