首页|Studies from School of Electrical Engineering in the Area of Support Vector Mach ines Described (Improved TLBO algorithm for optimal energy management in a hybri d microgrid with support vector machine-based forecasting of uncertain parameter s)
Studies from School of Electrical Engineering in the Area of Support Vector Mach ines Described (Improved TLBO algorithm for optimal energy management in a hybri d microgrid with support vector machine-based forecasting of uncertain parameter s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on have been presented. According t o news reporting out of Tamil Nadu, India, byNewsRx editors, research stated, “ The worldwide need for electrical energy is increasing, and integratingrenewabl e energy sources (RES) into the power grid will enhance the efficient use of cle an energy tofulfill the growing demand for energy. However, the uncertain natur e of power from the RES like solar andwind, utility price, and load demand, nec essitates accurate forecasting of the uncertain parameters (UP)to improve the r eliability of the hybrid microgrid.”
School of Electrical EngineeringTamil NaduIndiaAsiaAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
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