Search - minimum energy

Search - minimum energy - List

[Software Engineering] Copy_of_RCD DL : 1: 实用的IGBT的RCD吸收电路，采用真实器件参数，做到基本无尖峰且吸收能量最小，保持开关管最小应力-Practical IGBT of RCD snubber circuit, using the real device parameters, so that almost no energy absorption peak and minimum, keep the switch minimum stress! !
Date : 2025-12-23 Size : 10kb User : yifeng
[Software Engineering] cad2matR2-(1) DL : 0: ndustrial robot manipulator based on the minimum energy consumption
Date : 2025-12-23 Size : 120kb User : unesha
[Software Engineering] robot_5DOF DL : 0: 5dof Industrial robot manipulator based on the minimum energy consumption
Date : 2025-12-23 Size : 4kb User : unesha
[Software Engineering] inverse_kinematics_for_industrial_serial_robots-( DL : 0: inverse kinematics Industrial robot manipulator based on the minimum energy consumption
Date : 2025-12-23 Size : 5kb User : unesha
[Software Engineering] SA-TSP DL : 0: Simulated Annealing (SA) is the oldest probabilistic meta-heuristic algorithm and one of the first algorithms having ability to avoid being trapped in local minima. It is inspired by the process of annealing in metallurgy. In this process a material is heated and slowly cooled into solid crystal state with minimum energy and larger crystal size to reduce defects in metallic structures. Once the system has cooled, the configuration will represent a sample at or close to a global optimum.
Date : 2025-12-23 Size : 2kb User : sorayya
[Software Engineering] Picture1 DL : 0: To consider minimum inertial energy presence for transient stability as a constraint the unit commitment of the generator system is modified by adding one constraint in existing unit commitment system. The existing unit commitment constraints in IESO connected system are as follows. of transmission grid system depend not only on transmission line .
Date : 2025-12-23 Size : 170kb User : ankur
[Software Engineering] 06341870 DL : 0: Abstract—This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load data are used to stochastically model the wind generation, photovoltaic generation, and load. Using fuzzy C-Means (FCM) clustering, these data are grouped into 10 clusters of days with similar data points to account for seasonal variations. In order to minimize cost and increase efficiency, we use a GA-based optimization approach together with a two-point estimate method. Minimizing the cost function guarantees minimum PV and
Date : 2025-12-23 Size : 1.02mb User : senthil