152 research outputs found
A comparison among reactive power compensation strategies in wind farm power plant
No full textSquirrel cage induction generators are consolidated technologies for wind energy. Nevertheless, they do not perform voltage regulation and absorb reactive power from the utility grid. In this paper a comparison among three different reactive power compensation strategies is presented: centralized, fully decentralized and partially decentralized. The last is the proposal developed in the paper where an optimization problem is solved to individualize optimal sizing and location of reactive power centres. The problem is tested by a case study on a real test grid and encouraging results are presented
Genome sequence of the biocontrol agent coniothyrium minitans conio (IMI 134523)
No full textConiothyrium minitans (synonym, Paraphaeosphaeria minitans) is a highly specific mycoparasite of the wide host range crop pathogen Sclerotinia sclerotiorum. The capability of C. minitans to destroy the sclerotia of S. sclerotiorum has been well recognized and it is available as a widely used biocontrol product Contans WG. We present the draft genome sequence of C. minitans Conio (IMI 134523), which has previously been used in extensive studies that formed part of a registration package of the commercial product. This work provides a distinctive resource for further research into the molecular basis of mycoparasitism to harness the biocontrol potential of C. minitans
attuali indicazioni alla video laparofundoplicatio sec. Nissen nel trattamento dell'esofago di barrett
No full textComplessi carbenici N-eterociclici simmetrici e asimmetrici dei metalli da conio: sintesi, citotossicità e studi in soluzione
No full textRecentemente la chimica farmaceutica organometallica ha sperimentato una rinascita1. Il nostro gruppo di ricerca, negli ultimi 8 anni, ha sviluppato diverse classi dei comlessi NHC (carbeni N-eterociclici) con metalli da conio. Recentemente abbiamo concentrato il lavoro di ricerca sullo sviluppo di nuovi complessi NHC di argento(I), oro(I) e rame(I) ottenuti dai leganti idrosolubili HIm1R,3RCl (R = COOCH3, COOCH2CH3 o CON(CH2CH3)2)2 o dal legante precarbenico zwitterionico simmetrico NaHIm1R,3R,4R’’ (R = (CH2)3SO3-, R’’ = H, CH3)3,4 (Figura 1), NaHBzim1R,3R (R = (CH2)3SO3-) e leganti precarbenici non simmetrici NaHIm1R,3R’ (R = (CH2)3SO3-, R’ = CH2C6H5), {[HBzim1R,3R’]Br} (R = (CH2)3SO3Na, R’ = CH2C6H5) e i relativi complessi di rame(I) e argento(I)4. Abbiamo anche studiato la coordinazione del nuovo legante precarbenico {[HTz(pNO2Bz)2]Br} con accettori di Ag(I), Au(I) e Cu(I)5. Sono stati condotti studi di citotosicità su tutti i complessi ottenuti
Long-term endoscopic surveillance of patients with Barrett’S esophagus. A prospective study.
No full textImproving Wind Power Generation Forecasts: A Hybrid ANN-Clustering-PSO Approach
No full textThis study introduces a novel hybrid forecasting model for wind power generation. It integrates Artificial Neural Networks, data clustering, and Particle Swarm Optimization algorithms. The methodology employs a systematic framework: initial clustering of weather data via the k-means algorithm, followed by Pearson’s analysis to pinpoint pivotal elements in each cluster. Subsequently, a Multi-Layer Perceptron Artificial Neural Network undergoes training with a Particle Swarm Optimization algorithm, enhancing convergence and minimizing prediction discrepancies. An important focus of this study is to streamline wind forecasting. By judiciously utilizing only sixteen observation points near a wind farm plant, in contrast to the complex global numerical weather prediction systems employed by the European Center Medium Weather Forecast, which rely on thousands of data points, this approach not only enhances forecast accuracy but also significantly simplifies the modeling process. Validation is performed using data from the Italian National Meteorological Centre. Comparative assessments against both a persistence model and actual wind farm data from Southern Italy substantiate the superior performance of the proposed hybrid model. Specifically, the clustered Particle Swarm Optimization-Artificial Neural Network-Wind Forecasting Method demonstrates a noteworthy improvement, with a reduction in mean absolute percentage error of up to 59.47% and a decrease in root mean square error of up to 52.27% when compared to the persistence model
Artificial neural network application in wind forecasting: An one-hour-ahead wind speed prediction
No full textForecasting renewable production is a key activity in power systems. With the growing penetration of renewable energy sources, there is a pressing need for best manage supply/demand balance, therefore a reliable forecasting method of intermittent energy resources is an important issue. In this field, among renewable sources, the wind power one is characterized by the higher criticalities, due to the inherent intermittency not correlated with the day-night cycle. Moreover, the intermittent nature of wind power produces a heavy effect on the power system, because very often the production takes place in low-load conditions on the network, a condition for which a prediction error causes higher problems. The purpose of this work is to improve the wind forecasting developing a feed-forward neural network approach for wind power generation forecasting. Results from real-world case study, based on hourly meteorological data in South of Italy, are presented in order to show the proficiency of our proposed method. The effectiveness of our proposed methodology is clearly show by the value of three figure of merit: absolute percentage error (APE), mean absolute percentage error (MAPE) and mean square error (MSE). Obtained results are compared with their corresponding values generated by using the persistence model
Genome sequence of the biocontrol agent Coniothyrium minitans Conio (IMI 134523)
No full textConiothyrium minitans (synonym, Paraphaeosphaeria minitans) is a highly specific mycoparasite of the wide host range crop pathogen Sclerotinia sclerotiorum. The capability of C. minitans to destroy the sclerotia of S. sclerotiorum has been well recognized and it is available as a widely used biocontrol product Contans WG. We present the draft genome sequence of C. minitans Conio (IMI 134523), which has previously been used in extensive studies that formed part of a registration package of the commercial product. This work provides a distinctive resource for further research into the molecular basis of mycoparasitism to harness the biocontrol potential of C. minitans
- …
