Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110558
Abstract: Abstract Short-term building energy usage prediction plays an important role in fields of building energy management, power plants dispatch, and peak demand conflicting with grid security. A large number of data-driven models were applied to… read more here.
Keywords: energy; ensemble model; consumption prediction; data driven ... See more keywords
Energy consumption prediction in cement calcination process: A method of deep belief network with sliding window
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.118256
Abstract: Abstract Electricity consumption and coal consumption are two important indicators in the cement calcination process. Modeling predictions of cement energy consumption support efforts aimed at understanding energy use and energy conservation. However, due to the… read more here.
Keywords: energy consumption; deep belief; energy; consumption prediction ... See more keywords
A fusion data preprocessing method and its application in complex industrial power consumption prediction
Sign Up to like & getrecommendations! Published in 2021 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2021.102520
Abstract: Abstract Data-driven prediction methods often encounter problems in industrial applications due to noise, data redundancy, and insufficient labeled data. Preprocessing the data is required to improve prediction accuracy. At present, most data preprocessing methods are… read more here.
Keywords: consumption prediction; power consumption; fusion data; data preprocessing ... See more keywords
A novel data-driven method for fuel-consumption prediction based on fast converged kernel extreme learning machine
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/accf29
Abstract: An accurate fuel consumption prediction is significant to fuel-economy-oriented optimization, which can improve vehicle fuel economy. Based on the data-driven prediction framework, this paper proposes a real-time fuel consumption prediction model (RFCPM) using kernel extreme… read more here.
Keywords: consumption prediction; fuel; data driven; fuel consumption ... See more keywords
Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2887023
Abstract: Today’s energy resources are closer to consumers due to sustainable energy and advanced technology. To that end, ensuring a precise prediction of energy consumption at the buildings’ level is vital and significant to manage the… read more here.
Keywords: evolutionary deep; consumption prediction; prediction; energy ... See more keywords
Household Energy Consumption Prediction Using the Stationary Wavelet Transform and Transformers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3140818
Abstract: In this paper, we present a new method for forecasting power consumption. Household power consumption prediction is essential to manage and plan energy utilization. This study proposes a new technique using machine learning models based… read more here.
Keywords: consumption prediction; power consumption; consumption; household power ... See more keywords
Personalized Energy Consumption Prediction of CAEVs With Personal Driving Cycle Selection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171654
Abstract: For connected and autonomous electric vehicles (CAEVs), drivers must choose a power-efficient route because the energy source of a CAEV is a battery. The driver can find the power-efficient route and reduce the risk of… read more here.
Keywords: personal driving; consumption; power; battery ... See more keywords
Battery electric vehicle energy consumption prediction for a trip based on route information
Sign Up to like & getrecommendations! Published in 2018 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/0954407017729938
Abstract: Drivers of battery electric vehicles (BEVs) require an accurate and reliable energy consumption prediction along a chosen route to reduce range anxiety. The energy consumption for a future trip depends on a number of factors… read more here.
Keywords: consumption prediction; algorithm; energy consumption; energy ... See more keywords
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9204237
Abstract: The electric energy consumption prediction (EECP) is an essential and complex task in intelligent power management system. EECP plays a significant role in drawing up a national energy development policy. Therefore, this study proposes an… read more here.
Keywords: electric energy; energy consumption; energy; consumption prediction ... See more keywords
Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16114365
Abstract: The widespread electrification of public transportation is increasing and is a powerful way to reduce greenhouse gas (GHG) emissions. Using real-world driving data is crucial for vehicle design and efficient fleet operation. Although electric powertrains… read more here.
Keywords: energy; public transportation; energy consumption; city ... See more keywords