The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new methodology for electricity demand forecasting on very short-term horizon based on a discrete probabilistic model (Markov Chain). The modeling process is automated by a feature extraction tool, the Self-Organizing Map, considering historical data of climate variables (air temperature, relative humidity and wind speed) and load behavior, related through the thermal discomfort...
This paper presents a novel formulation for differential protection of three-phase transformers. The discrete wavelet transform (DWT) is employed to extract transitory features of transformer three-phase differential currents to detect internal faulty conditions. The performance of the proposed algorithm is evaluated through simulation of faulty and non-faulty test cases on a power transformer using...
This paper proposes a novel differential protection technique of three-phase transformers using Wavelet Transforms (WTs). The Wavelet Transform is an efficient signal processing tool used in non stationary signals with fast transition studies (high frequency components). The three phase differential currents are the input signals used on-line in the proposed formulation. The performance of the proposed...
This paper proposes a novel formulation for differential protection of three-phase transformers using Wavelet Transforms (WTs). The new proposed methodology implements the WTs to extract predominant transient signals originated by transformer internal faults and captured from the current transformers. The Wavelet Transform is an efficient signal processing tool used to study non stationary signals...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.