Results 51 to 60 of about 453,955 (199)
Streamflow forecasting is highly crucial in the domain of water resources. For this study, we coupled the Wavelet Transform (WT) and Artificial Neural Network (ANN) to forecast Gilgit streamflow at short-term (T0.33 and T0.66), intermediate-term (T1 ...
Zain Syed +7 more
doaj +1 more source
Short-Term Load Forecasting: The Similar Shape Functional Time Series Predictor [PDF]
We introduce a novel functional time series methodology for short-term load forecasting. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be
Paparoditis, Efstathios +1 more
core +1 more source
Very short-term forecasting of power demand of big dynamics objects [PDF]
The issue of very short-term forecasting is gaining more and more importance. It covers both the subject of power demand forecasting and forecasting of power generated in renewable energy sources.
Parol Mirosław +2 more
doaj +1 more source
Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach [PDF]
Short-term high-resolution precipitation forecasting has important implications for navigation, flood forecasting, and other hydrological and meteorological concerns.
Bellerby, T +6 more
core +2 more sources
Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu +3 more
doaj +1 more source
With the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization ...
Mehmet Balci +3 more
doaj +1 more source
Combination Forecasts of Bond and Stock Returns: An Asset Allocation Perspective [PDF]
We investigate the out-of-sample forecasting ability of the HML, SMB, momentum, short-term and long-term reversal factors along with their size and value decompositions on U.S.
A Abhyankar +32 more
core +1 more source
Analysis load forecasting of power system using fuzzy logic and artificial neural network [PDF]
Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and ...
A Mostafa, Salama +7 more
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Overview of meteorological inputs to NASP [PDF]
An overview of meteorological systems for forecasting flight conditions is presented. The types of equipment used to gather the information used to prepare pilot briefings and in flight advisories is described.
Dziuk, J. C.
core +1 more source
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective ...
Bianchi, Filippo Maria +4 more
core +1 more source

