Results 41 to 50 of about 1,772,398 (306)

Short‐term prediction of photovoltaic power generation based on neural network prediction model

open access: yesEnergy Science & Engineering, 2023
Real‐time monitoring and accurate prediction of photovoltaic (PV) power generation operation parameters are essential to ensure stable operation.
Mu Chai   +3 more
doaj   +1 more source

Accurate electricity consumption prediction using enhanced long short‐term memory

open access: yesIET Communications, 2022
In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
doaj   +1 more source

Models for short term malaria prediction in Sri Lanka

open access: yesMalaria Journal, 2008
Background Malaria in Sri Lanka is unstable and fluctuates in intensity both spatially and temporally. Although the case counts are dwindling at present, given the past history of resurgence of outbreaks despite effective control measures, the control ...
Galappaththy Gawrie NL   +4 more
doaj   +1 more source

Modeling and Predicting the Short‐Term Evolution of the Geomagnetic Field [PDF]

open access: yesJournal of Geophysical Research: Solid Earth, 2018
AbstractWe propose a reduced dynamical system describing the coupled evolution of fluid flow and magnetic field at the top of the Earth's core between the years 1900 and 2014. The flow evolution is modeled with a first‐order autoregressive process, while the magnetic field obeys the classical frozen flux equation.
Bärenzung, Julien   +4 more
openaire   +6 more sources

Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers

open access: yesSensors, 2020
Short-term traffic state prediction has become an integral component of an advanced traveler information system (ATIS) in intelligent transportation systems (ITS).
Muhammad Zahid   +3 more
doaj   +1 more source

Long-term Planning by Short-term Prediction

open access: yesCoRR, 2016
We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. For example, when a car tries to merge in a roundabout it should decide on an immediate acceleration/braking command, while the long term effect of the command is the success ...
Shai Shalev-Shwartz   +3 more
openaire   +2 more sources

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

open access: yesApplied Sciences, 2019
A wind power short-term forecasting method based on discrete wavelet transform and long short-term memory networks (DWT_LSTM) is proposed. The LSTM network is designed to effectively exhibit the dynamic behavior of the wind power time series.
Yao Liu   +6 more
semanticscholar   +1 more source

A Short Term Simulator for Vessel Manoeuvres Prediction

open access: yes, 2017
This paper presents a methodology for vessels manoeuvring prediction during navigation. The proposed algorithm allows to estimate future position and heading of the vessel on the basis of present position, velocity, propeller speed and rudder angle. The prediction algorithm, which can be very useful in emergency manoeuvres, uses a short term simulator ...
NERI, PAOLO, NERI, BRUNO
openaire   +1 more source

Short‐term natural gas consumption prediction based on wavelet transform and bidirectional long short‐term memory optimized by Bayesian network

open access: yesEnergy Science & Engineering, 2022
In the energy structure, natural gas is an important clean energy, and its consumption forecast is of great significance for energy policy formulation, pipeline network planning design, and peak shaving capacity determination. In the field of forecasting,
Zhaoyang Li, Liang Liu, Weibiao Qiao
doaj   +1 more source

Parallel Interactive Attention Network for Short-Term Origin–Destination Prediction in Urban Rail Transit

open access: yesApplied Sciences, 2023
Short-term origin–destination (termed as OD) prediction is crucial to improve the operation of urban rail transit (termed as URT). The latest research results show that deep learning can effectively improve the performance of short-term OD prediction and
Wenzhong Zhou, Chunhai Gao, Tao Tang
doaj   +1 more source

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