Machine learning (ML) for real-time security assessment requires a diverse training database to be accurate scenarios beyond historical records. Generating operating conditions is highly relevant the uncertain future of emerging power systems that are completely different systems. In response, first time, this work proposes novel split-based sequential sampling approach based on optimisation ge...