Abstract: A method and apparatus for optimally configuring a capacity of a high-proportion new energy system, a device, and a medium, which belong to the field of new energy system optimization and are used for solving the problems of insufficient flexibility of the high-proportion new energy system during the heating period and difficult consumption of renewable energy. The method includes: constructing a high-proportion new energy system structure; establishing a concentrating solar power (CSP) unit model and a combined heat and power (CHP) unit model based on the proposed structure; establishing a high-proportion new energy system collaborative optimization model based on the proposed unit models; acquiring relevant data of various units and renewable resource data; and obtaining a capacity configuration and operation optimization scheme of various units in the high-proportion new energy system according to the established model, thereby improving the renewable energy consumption of the system.

Abstract: The present disclosure discloses a computing apparatus, a method for implementing a convolution operation by using a computing apparatus, and related products. The computing apparatus is included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a computing operation specified by a user. The combined processing apparatus further includes a storage apparatus. The storage apparatus is respectively connected to the computing apparatus and other processing apparatus and is configured to store data of the computing apparatus and other processing apparatus. A solution of the present disclosure optimizes a convolution operation and improves operation processing efficiency.

Abstract: The present disclosure discloses a data processing circuit, a data processing method, and related products. The data processing circuit is implemented as a computing apparatus included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The computing apparatus interacts with other processing apparatus to jointly complete a user specified computation operation. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the computing apparatus and other processing apparatus, respectively. The storage apparatus is used to store data of the computing apparatus and other processing apparatus. The solution disclosed in the present disclosure provides hardware implementation for operations related to structured sparsity, which can simplify processing and improve processing efficiency of a machine.

Abstract: The present disclosure discloses an integrated computing apparatus, a machine learning computing apparatus, a neural network chip, a board card, an electronic device, and a method. The integrated computing apparatus is included in a combined processing apparatus. The combined processing apparatus further includes an interface apparatus and other processing apparatus. The integrated computing apparatus interacts with other processing apparatus to jointly complete a user-specified computing operation. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the integrated computing apparatus and other processing apparatus, respectively. The storage apparatus is used to store data of the integrated computing apparatus and other processing apparatus. The solution of the present disclosure starts and/or shuts down circuits in accordance with a predetermined rule, thus avoiding excessive transient current caused by starting the circuits at the same time.

Abstract: The disclosure provides a data processing device and method. The data processing device may include: a task configuration information storage unit and a task queue configuration unit. The task configuration information storage unit is configured to store configuration information of tasks. The task queue configuration unit is configured to configure a task queue according to the configuration information stored in the task configuration information storage unit. According to the disclosure, a task queue may be configured according to the configuration information.

Abstract: The disclosure provides a data processing device and method. The data processing device may include: a task configuration information storage unit and a task queue configuration unit. The task configuration information storage unit is configured to store configuration information of tasks. The task queue configuration unit is configured to configure a task queue according to the configuration information stored in the task configuration information storage unit. According to the disclosure, a task queue may be configured according to the configuration information.