Planning-based techniques are powerful tools for automated narrative generation, however, as the planning domain grows in the number of possible actions traditional planning techniques suffer from a combinatorial explosion. In this work, we apply Monte Carlo Tree Search to goal-driven narrative generation. We demonstrate our approach to have an order of magnitude improvement in performance over...

Decentralized planning mode of power generation and power transmission is facing enormous challenges at present, and all kinds of uncertainties that impact on the planning have become increasingly evident. To solve the two coordinated planning and development issues is imminent, proposing a coordinated planning model of generation and transmission to improve system stability and flexibility and...

Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we investigate the effectiveness of learning approaches for improving over-subscription planning, a problem that has received significant recent interest. Viewing over-subscription planning as a domain-independent optimization ...

The expansion of the transmission network will be a key enabler energy transition. However, high level technical detail involved in studies, where DCPF and consideration discrete investment are necessary, meant that it was accessible only to very specialized researchers. OpenTEPES changes picture by providing an open-access tool with full functionality. determines plans for new power facilities...

The economic situation that is getting more challenging, and the desire to dream for a luxurious marriage challenge faced by couples who are heading towards nowadays. Thus, objective of this study identify whether millennial generation has specific saving or not, identifying items expenditure estimates their wedding, generation's financial sources celebrate wedding. purposive sampling technique...