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Short Term Prediction of Photovoltaic Power Based on FCM and CG‑DBN Combination
ZhengMing Li,ShiQuan Bao,ZhaoLiang Gao 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.1
Afected by many factors, the photovoltaic output power is characterized by nonlinearity, volatility and instability. Therefore, short-term forecasting models are required to have multiple inputs, levels, and categories. In order to solve the above problems and improve the accuracy of predictions, this paper proposes a combined model prediction method based on similar-day clustering and the use of Conjugate Gradient (CG) to improve Deep Belief Network (DBN). The initial method uses fuzzy C-Means Clustering Algorithm (FCM) to perform similar-day clustering on the original data according to the degree of membership. The CG-DBN prediction model is then designed according to the category, with the model ultimately being used to perform the short-term prediction of the PV output power. The proposed scheme uses data from Zhejiang Longyou power station for experimental analysis and verifcation, and the results were compared with the back propagation neural networks model, Support Vector Machine (SVM) model, and traditional deep belief network. The model’s predicted results are compared. Finally, it is concluded that, in the short-term PV power load forecasting, the prediction performance of the FCM and CG-DBN combination forecast model is better than the above three models and has strong feasibility in short-term PV power forecasting.
Kui Xiao,Zhaoliang Li,Jialiang Song,Ziheng Bai,Wei Xue,Junsheng Wu,Chaofang Dong 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.8
The concentration of metal ions in aqueous environments signifcantly afects the formation of corrosion products and furthermetal corrosion. In this paper, the electrochemical behavior of carbon steel in the presence of Fe2+ or Fe3+ concentrationin Cl− and SO42− aqueous environments have been investigated using conventional electrochemical methods such as linearpolarization and alternating current impedance spectroscopy. The morphology and composition of carbon steel corrosionproducts were studied using scanning electron microscopy and laser Raman spectroscopy. The efects of corrosion productsand iron ions concentration on the corrosion of carbon steel were discussed. Corrosion products of carbon steel in aqueousenvironments were γ-FeOOH, γ-Fe2O3 and a small amount of α-Fe2O3. The addition of Fe2+ afected the cathode reactionof the electrode reaction, and promotes the formation of γ-FeOOH and Fe3O4. And with the increase of Fe2+ concentrationin the solution, the anode process of electrode reaction was suppressed. The addition of Fe3+ promoted the formation ofγ-Fe2O3 and Fe3O4. Fe3+ afected the ionization of water, causing the pH of the solution to drop. Fe3+ undergoes a redoxreaction with the matrix. Addition of Fe3+ ions promoted the formation of FeOOH, an intermediate product, which reactswith the anode product Fe2+. These factors all accelerated the corrosion process.
Guang Yang,Ziwei Nie,Siyu Zhang,Zhaoliang Ge,Jiayin Zhao,Jiuru Zhang,Bin Li 한국고분자학회 2020 Macromolecular Research Vol.28 No.13
Due to the high toxicity of lead ions (Pb2+) and volatile organic compounds (VOCs) to human health and the environment, increasing attention has been paid by scientists to the development of simple, flexible and sensitive sensors or methods that are capable of tracing Pb2+ ions or VOCs with colorimetric visualization. In this study, the fabrication of colorimetric sensors based on histidine-functionalized diacetylene (His-DA), chromatic π-conjugated liposomes, for tracing Pb2+ ions was described. With a suitable molar ratio (4:1) between the10,12-pentacosadiynoic acid (PCDA) and His-DA monomers, the histidine units of the hybrid liposomes could rationally interrupt the efficient backbone length of polydiacetylene (PDA) chains, which causes the probe to be highly sensitive and selective for colorimetric visualization of tracing Pb2+ ions. Moreover, the His-PDA films also displayed sensitivity to volatile organic solvents or vapors, which could promote vivid color changes from blue to purple or pink. These interesting findings indicate that histidine-functionalized diacetylene may offer a promising way to design smart devices for real applications of sensing or tracing hazardous substances in the future.