Abstract: A display panel is provided. In a display region configured to display an image, the display panel includes a base substrate; thin film transistors and display elements on the base substrate; an encapsulating layer encapsulating the display elements; and a touch electrode layer including mesh electrodes on a side of the encapsulating layer away from the base substrate. The encapsulating layer includes at least an organic encapsulating sub-layer having a first thickness in at least a sub-region of the transition region, and a second thickness in the display region. The first thickness is smaller than the second thickness. The sub-region at least partially surrounds the first window region. A thickness of the organic encapsulating sub-layer in the sub-region of the transition region gradually decreases along a direction from the sub-region of the transition region toward the first window region.

Abstract: A display panel is provided. In a display region configured to display an image, the display panel includes a base substrate; thin film transistors and display elements on the base substrate; an encapsulating layer encapsulating the display elements; and a touch electrode layer including mesh electrodes on a side of the encapsulating layer away from the base substrate. Mesh electrode lines of the mesh electrodes have a first line width in at least the sub-region of the transition region, and a second line width in the display region, the first line width being greater than the second line width.

Abstract: Time-synchronized state estimation for reconfigurable distribution systems is challenging because of limited real-time observability. A system addresses this challenge by formulating a deep learning (DL)-based approach for topology identification (TI) and unbalanced three-phase distribution system state estimation (DSSE). Two deep neural networks (DNNs) are trained for time-synchronized DNN-based TI and DSSE, respectively, for systems that are incompletely observed by synchrophasor measurement devices (SMDs) in real-time. A data-driven approach for judicious SMD placement to facilitate reliable TI and DSSE is also developed.

Abstract: Systems and methods herein provide for adaptive subband compression of power signals in a power system. In one embodiment, a system includes an encoder is operable to partition sensor measurements into frequency subbands (e.g., including an interharmonic subband), centered at integer multiples of the power system's fundamental frequency (e.g., 50 Hz or 60 Hz). The encoder may also be operable to detect active subbands, and to compress the at least one active subband. The system also includes a data concentrator operable to transmit the at least one compressed subband to a processor for analysis. The system also includes a decoder at a processing location (a substation, a concentrator, or the control center) operable to parse the compressed waveforms into subbands, to interpolate and decompress at least one compressed subband, and to synthesize the decompressed subbands as an approximation of the original waveform (e.g., subject to reconstruction error requirements).

Abstract: Systems and methods herein provide for adaptive subband compression of power signals in a power system. In one embodiment, a system includes an encoder is operable to partition sensor measurements into frequency subbands (e.g., including an interharmonic subband), centered at integer multiples of the power system's fundamental frequency (e.g., 50 Hz or 60 Hz). The encoder may also be operable to detect active subbands, and to compress the at least one active subband. The system also includes a data concentrator operable to transmit the at least one compressed subband to a processor for analysis. The system also includes a decoder at a processing location (a substation, a concentrator, or the control center) operable to parse the compressed waveforms into subbands, to interpolate and decompress at least one compressed subband, and to synthesize the decompressed subbands as an approximation of the original waveform (e.g., subject to reconstruction error requirements).

Abstract: A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.

Abstract: A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.

Abstract: A network includes a transmitter for transmitting a stream of known symbols and unknown symbols in an optimal distribution through a transmission channel to a receiver that receives the transmitted stream of known symbols and unknown symbols distorted by intersymbol interference (ISI). The receiver uses a known symbol generator and a precursor cancellation decision feedback equalizer (PC-DFE) to cancel precursor ISI from symbols that have not yet been decided. The transmitter comprises a known symbol distribution controller for inserting a plurality of known symbols into an outgoing stream of unknown symbols in an optimum distribution in order to improve the performance of the PC-DFE in the receiver.

Abstract: There is disclosed a transmitter for transmitting a stream of known symbols and unknown symbols through a transmission channel to a first receiver that receives the transmitted stream of known symbols and unknown symbols distorted by intersymbol interference (ISI) and reduces therein an ISI signal. The transmitter comprises a known symbol distribution controller capable of inserting a plurality of known symbol clusters into an outgoing stream of unknown symbols in an optimum distribution in order to improve the performance of the first receiver.

Abstract: There is disclosed, for use in a receiver receiving from a transmission channel an incoming stream of known symbols and unknown symbols distorted by intersymbol interference (ISI), an apparatus for reducing a precursor ISI signal. The apparatus for reducing the precursor ISI signal comprises: 1) a decision feedback equalizer for receiving the incoming stream of distorted known symbols and distorted unknown symbols and generating a sequence of detected symbols; and 2) a known symbol generator for generating a copy of a first known symbol prior to an estimation of the first known symbol by the decision feedback equalizer, wherein the decision feedback equalizer uses the copy of the first known symbol to reduce a first precursor ISI signal in a second symbol transmitted prior to the first known symbol.

Abstract: An apparatus for reducing a precursor ISI signal in a receiver that receives an incoming stream of symbols distorted by intersymbol interference (ISI) includes: 1) a first forward filter for receiving the incoming stream of distorted symbols and generating a first equalized output signal (Y′k); 2) a first decision feedback equalizer (DFE) stage for receiving the Y′k signal and generating a first decided symbol sequence (Ŝk−d), wherein the first DFE stage generates from Ŝk−d a first postcursor cancellation signal that reduces postcursor ISI in the Y′k signal and generates from the Y′k signal a first symbol estimate signal (vk) in which postcursor ISI is at least partially reduced; and 3) a second decision feedback equalizer (DFE) stage for receiving the Y′k signal and generating a second decided symbol sequence (Ŝk−2d), wherein the second DFE stage comprises a soft symbol estimator that receives the vk signal and generates a soft decision sequen