基于模糊聚类分析与模型识别的微电网多目标优化方法
在微电网调度过程中综合考虑经济、环境、蓄电池的 循环电量,建立多目标优化数学模型。针对传统多目标粒子 群算法(multi-objective particle swarm optimization,MOPSO) 的不足,提出引入模糊聚类分析的多目标粒子群算法 (multi-objective par...
在微电网调度过程中综合考虑经济、环境、蓄电池的 循环电量,建立多目标优化数学模型。针对传统多目标粒子 群算法(multi-objective particle swarm optimization,MOPSO) 的不足,提出引入模糊聚类分析的多目标粒子群算法 (multi-objective par...
New applications such as video conferencing, video on demand, multi- media transcoders, Voice-over-IP (VoIP), intrusion detection, distributed collabo...
Emerging technologies such as WiFi and WiMAX are profoundly changing the landscape of wireless broadband. As we evolve into future generat...
Employing multiple transmit and receive antennas, namely using multi-input multi-output (MIMO) systems, has proven to be a major breakthrough in provi...
Today’s wireless services have come a long way since the roll out of the conventional voice-centric cellular systems. The demand for wireless access i...