A generic prediction interval estimation method for quantifying the uncertainties in ultra-short-term building cooling load prediction
Sign Up to like & getrecommendations! Published in 2020 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2020.115261
Abstract: Abstract Ultra-short-term building cooling load prediction is useful for optimal operations of building energy systems. The uncertainties of predicted cooling loads affect the reliability of the optimal operations significantly. This paper proposes a generic prediction… read more here.
Keywords: cooling load; predicted cooling; load prediction; cooling loads ... See more keywords
A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110301
Abstract: Abstract Data driven-based building energy load prediction is of great value for building energy management tasks such as fault diagnosis and optimal control. However, there are two challenges for conventional data driven-based prediction methods. The… read more here.
Keywords: energy; load prediction; method; building energy ... See more keywords
Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction
Sign Up to like & getrecommendations! Published in 2020 at "Journal of energy storage"
DOI: 10.1016/j.est.2020.101271
Abstract: Abstract Other than upgrading the energy storage technology employed within electric vehicles (EVs), improving the driving range estimation methods will help to reduce the phenomena, known as range anxiety. The remaining discharge energy (RDE) of… read more here.
Keywords: energy; load prediction; battery; gaussian mixture ... See more keywords
RTSLPS: Real time server load prediction system for the ever-changing cloud computing environment
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.12.004
Abstract: Abstract Cloud Computing (CC) proposes a multi-tenant framework used by multiple concurrent users, each of which exhibits different and varied behavior. Such heterogeneity shapes a highly fluctuating load and creates new usage patterns overtime at… read more here.
Keywords: load; server load; real time; load prediction ... See more keywords
Analysing wind turbine fatigue load prediction: The impact of wind farm flow conditions
Sign Up to like & getrecommendations! Published in 2017 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.01.065
Abstract: Abstract Lifetime evaluation with fatigue loads is commonly used in the design phase of wind turbines, but rarely during operation due to the cost of extra measurements. Fatigue load prediction with neural networks, using existing… read more here.
Keywords: flow conditions; load prediction; fatigue load; prediction ... See more keywords
Two-Stage Traffic Load Prediction-Based Resource Reservation for Sliced HSR Wireless Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3195517
Abstract: In this letter, we propose a two-stage traffic load prediction scheme for network slices (NSs) in high-speed railway (HSR) wireless networks, where in the first stage, the K-means algorithm is leveraged to cluster traffic flows,… read more here.
Keywords: load prediction; traffic load; traffic; stage ... See more keywords
A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3215742
Abstract: In distributed load prediction problems, training datasets on load consumption and load-related features are scattered within various districts and parties. To fully exploit the underlying patterns of these decentralized data, federated learning is needed as… read more here.
Keywords: distributed load; load prediction; hybrid federated; federated learning ... See more keywords
Stream Data Load Prediction for Resource Scaling Using Online Support Vector Regression
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12020037
Abstract: A distributed data stream processing system handles real-time, changeable and sudden streaming data load. Its elastic resource allocation has become a fundamental and challenging problem with a fixed strategy that will result in waste of… read more here.
Keywords: load prediction; resource; data load; stream data ... See more keywords
Climate Change and Power Security: Power Load Prediction for Rural Electrical Microgrids Using Long Short Term Memory and Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8050749
Abstract: Many of rural Alaskan communities operate their own, stand-alone electrical microgrids as there is no state-wide power distribution network. Although the fossil fuel-based power generators are the primary energy source in these isolated communities, an… read more here.
Keywords: community; load prediction; power load; power ... See more keywords
Electrical Load Prediction Using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning Approach
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14123591
Abstract: Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of renewable energy… read more here.
Keywords: system; load prediction; approach; prediction ... See more keywords