Abstract: The present invention provides a method for managing heat-electric outputs of a high-proportion new energy system based on CSP-CHP combined energy supply, which belongs 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: establishing a concentrating solar power (CSP) unit model and a combined heat and power (CHP) unit model based on the built structure; establishing a collaborative optimization model of the high-proportion new energy system based on the proposed unit models; acquiring relevant data of various units and renewable resource data; obtaining a sum of hourly electric power outputs and a sum of hourly heat outputs; and controlling a heat storage apparatus to store or output a certain amount of heat energy.

Abstract: A display panel, including an active area and a peripheral area, which is located outside of the active area, wherein the active area comprises a base substrate, and a display structure layer and a touch structure layer sequentially arranged on the base substrate; the peripheral area includes an isolation dam, a first ground trace and a second ground trace arranged on the base substrate; and the first ground trace is located at a side of the isolation dam close to the active area, and the second ground trace is located at a side of the isolation dam away from the active area.

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.