نتایج جستجو برای: generation planning
تعداد نتایج: 547355 فیلتر نتایج به سال:
Application of Tabu Search to Optimal Placement of Distributed Generation and Reactive Power Sources
Introducing distributed generation into a power system can lead to numerous benefits including technical, economic, environmental, etc. To attain these benefits, distributed generators with proper rating should be installed at suitable locations. Given the similar effects of distributed generators and capacitor banks on operation indices of a distribution system, simultaneous assignment of best...
Storytelling is prominent part of the daily lives of humans. Entertainers, educators, and trainers often concern themselves with the production of novel stories for entertainment, education, and training. However, it is possible for the consumption of story content by end-users to outpace the rate of production of story content. One solution is to instill greater creativity in computer systems ...
In recent years the expansion planning problem has become increasingly complex. As expansion planning (sometimes called composite or integrated resource planning) is a non-linear and nonconvex optimization problem, researchers have traditionally focused on approximate models of power flows to solve the problem. The problem has also been split into generation expansion planning (GEP) and transmi...
Application of Tabu Search to Optimal Placement of Distributed Generation and Reactive Power Sources
Introducing distributed generation into a power system can lead to numerous benefits including technical, economic, environmental, etc. To attain these benefits, distributed generators with proper rating should be installed at suitable locations. Given the similar effects of distributed generators and capacitor banks on operation indices of a distribution system, simultaneous assignment of best...
Abstract Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or variants thereof. These models generate text that is fluent (but often imprecise) and perform quite poorly at selecting appropriate content ordering it coherently. To overcome some of these issues, we propose a neural model with macro planning stage followed by reminiscent trad...
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