LSTM-based energy management for electric vehicle charging in commercial-building prosumers

As typical prosumers, commercial buildings equipped with electric vehicle (EV) charging piles and solar photovoltaic panels require an effective energy management method. However, the conventional optimization-model-based building energy management system faces significant challenges regarding prediction and calculation in online execution. To address this issue, a long short-term memory (LSTM) recurrent neural network (RNN) based machine learning algorithm is proposed in this paper to schedule the charging and discharging of numerous EVs in commercial-building prosumers. Under the proposed system control structure, the LSTM algorithm can be separated into offline and online stages. At the offline stage, the LSTM is used to map states (inputs) to decisions (outputs) based on the network training. At the online stage, once the current state is input, the LSTM can quickly generate a solution without any additional prediction. A preliminary data processing rule and an additional output filtering procedure are designed to improve the decision performance of LSTM network. The simulation results demonstrate that the LSTM algorithm can generate near-optimal solutions in milliseconds and significantly reduce the prediction and calculation pressures compared with the conventional optimization algorithm

Proteomic characterization of an isolated fraction of synthetic proteasome inhibitor (PSI)-induced inclusions in PC12 cells might offer clues to aggresomes as a cellular defensive response against proteasome inhibition by PSI

<p>Abstract</p> <p>Background</p> <p>Cooperation of constituents of the ubiquitin proteasome system (UPS) with chaperone proteins in degrading proteins mediate a wide range of cellular processes, such as synaptic function and neurotransmission, gene transcription, protein trafficking, mitochondrial function and metabolism, antioxidant defence mechanisms, and apoptotic signal transduction. It is supposed that constituents of the UPS and chaperone proteins are recruited into aggresomes where aberrant and potentially cytotoxic proteins may be sequestered in an inactive form.</p> <p>Results</p> <p>To determinate the proteomic pattern of synthetic proteasome inhibitor (PSI)-induced inclusions in PC12 cells after proteasome inhibition by PSI, we analyzed a fraction of PSI-induced inclusions. A proteomic feature of the isolated fraction was characterized by identification of fifty six proteins including twenty previously reported protein components of Lewy bodies, twenty eight newly identified proteins and eight unknown proteins. These proteins, most of which were recognized as a profile of proteins within cellular processes mediated by the UPS, a profile of constituents of the UPS and a profile of chaperone proteins, are classed into at least nine accepted categories. In addition, prolyl-4-hydroxylase beta polypeptide, an endoplasmic reticulum member of the protein disulfide isomerase family, was validated in the developmental process of PSI-induced inclusions in the cells.</p> <p>Conclusions</p> <p>It is speculated that proteomic characterization of an isolated fraction of PSI-induced inclusions in PC12 cells might offer clues to appearance of aggresomes serving as a cellular defensive response against proteasome inhibition.</p

Easy Calibration for Para-catadioptric-like Camera

Abstract- For omnidirectional cameras, most of the previous calibration methods from lines use conic fitting. This paper presents a calibration method for para-catadioptric-like cameras from lines without conic fitting under a single view. We establish equations on the five camera intrinsic parameters. These equations are linear for the focal lengths and skew factor once the principal point is known. The principal point can be approximated well by the center of the imaged mirror contour in practice or can be accurately estimated by quadric equations. After obtaining the principal point, we propose an algorithm to calibrate the focal lengths and skew factor. The algorithm needs neither prior structure knowledge nor conic fitting and is linear, which make it easy to implement. Other omnidirectional cameras can also use this presented work if high accuracy is not required. Experiments demonstrate the efficiency of the proposed algorithm

How Exporting Firms Respond to Technical Barriers to Trade?

This paper investigates how Technical Barriers to Trade (TBT) affect firm export performance. The implementation of the “Children-Resistance” act (CR act) in the EU offers an ideal quasi-natural experiment to identify the causal effect of TBTs on firm performance. Using data on Chinese firms that export cigarette lighters between 2004 and 2008, empirical results show that firms that export to the EU not only adjust their product quality to meet the requirements in the CR act, but also upgrade their product quality in other dimensions. However, both the export value and export volume to the EU decline. At the same time, less productive exporters are forced to exit from the EU market. In addition, while the effect of the CR act on export quality is significant only in the implementation year, its impact on firm-level export scale last longer even after its implementation, which is referred to as a dynamic impact. Lastly, Heterogeneous effect of TBT is also documented