Confidence interval prediction of ANN estimated LPT parameters
Sign Up to like & getrecommendations! Published in 2019 at "Aircraft Engineering and Aerospace Technology"
DOI: 10.1108/aeat-10-2018-0266
Abstract: Purpose With the condition monitoring system on airplanes, failures can be predicted before they occur. Performance deterioration of aircraft engines is monitored by parameters such as fuel flow, exhaust gas temperature, engine fan speeds, vibration,… read more here.
Keywords: confidence interval; prediction ann; vibration; interval prediction ... See more keywords
Wavelet Neural Network Based Multiobjective Interval Prediction for Short-Term Wind Speed
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877735
Abstract: As a source of clean and pollution-free renewable energy, wind power has attracted much attention and has been increasingly integrated into the existing power system. However, the uncertain and volatile wind speed makes the utilization… read more here.
Keywords: multiobjective interval; wavelet neural; speed; wind speed ... See more keywords
Interval Prediction Method for Wind Power Based on VMD-ELM/ARIMA-ADKDE
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189477
Abstract: Wind power is a new energy source, for which the forecasting accuracy is related to the feasibility of various decision-making schemes for the power grid. The random, fluctuating and uncertain characteristics of wind power make… read more here.
Keywords: interval prediction; wind power; power;
Uncertainty Quantification and Interval Prediction of Equipment Remaining Useful Life Based on Semisupervised Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3334339
Abstract: With the rapid development of sensing technology, deep learning (DL) methods have gained great popularity in remaining useful life (RUL) prediction of equipment. However, DL-based prediction methods generally cannot quantify uncertainties or provide reliable prediction… read more here.
Keywords: rul; interval prediction; prediction equipment; prediction ... See more keywords
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3579406
Abstract: Interval prediction is crucial in decision-making processes across many domains. Although significant progress has been made in existing interval prediction methods, they still face several challenges, such as assumptions about data distribution, fixed interval widths,… read more here.
Keywords: interval prediction; scale deep; multi scale; prediction ... See more keywords
A Combination Interval Prediction Model Based on Biased Convex Cost Function and Auto-Encoder in Solar Power Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2021.3054125
Abstract: Due to the intermittent and stochastic nature of solar power, solar power interval prediction is of great importance for grid management and power dispatching. A combination interval prediction model based on the lower and upper… read more here.
Keywords: solar power; prediction model; interval prediction; prediction ... See more keywords
Improved Chicken Swarm Algorithms Based on Chaos Theory and Its Application in Wind Power Interval Prediction
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/1240717
Abstract: Probabilistic interval prediction can be used to quantitatively analyse the uncertainty of wind energy. In this paper, a wind power interval prediction model based on chaotic chicken swarm optimization and extreme learning machine (CCSO-ELM) is… read more here.
Keywords: chicken swarm; interval prediction; interval; wind power ... See more keywords
A wind speed interval prediction method for reducing noise uncertainty
Sign Up to like & getrecommendations! Published in 2024 at "Wind Engineering"
DOI: 10.1177/0309524x231217262
Abstract: Due to the noise uncertainty, the conventional point prediction model is difficult to describe the actual characteristics of wind speed and lacks a description of the wind speed fluctuation range. In this paper, the kernel… read more here.
Keywords: interval prediction; noise uncertainty; prediction; wind speed ... See more keywords
Wind Power Interval Prediction via an Integrated Variational Empirical Decomposition Deep Learning Model
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15076114
Abstract: As global demand for renewable energy increases, wind energy has become an important source of clean energy. However, due to the instability and unpredictability of wind energy, predicting wind power becomes one of the keys… read more here.
Keywords: energy; power; prediction; wind power ... See more keywords