Integrated Quantum Computing and Machine Intelligence for Sustainable Energy Solutions
Muthuraman Subbiah, R. V. V. Krishna, V. Satyanarayana +1 more
The synergistic integration of amount computing and machine intelligence to address challenges in sustainable energy results. By using the computational power of amount computing and the adaptive literacy capabilities of machine intelligence, the study aims to optimize energy product, distribution, and application in a sustainable manner. Through advanced algorithms and optimisation ways, the exploration explores how intertwined amount computing and machine intelligence can enhance the effectiveness, trustability, and environmental sustainability of energy systems. The findings offer perceptivity into the eventuality of this interdisciplinary approach to revise the energy sector, paving the way for the development of innovative results for renewable energy integration, smart grid operation, and energy-effective technologies. Eventually, the exploration contributes to the advancement of sustainable energy results by employing the combined power of amount computing and machine intelligence to address complex challenges in energy optimisation and resource operation.
Advances in computational intelligence and robotics book series•Aug 5, 2024•0 citations