A Residential Load Scheduling Based on Cost Efficiency and Consumer's Preference for Demand Response in Smart Grid
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106410
Abstract: Abstract With the wide application of consumer's electric appliances with flexible power supply or start time and competitive energy markets, it is necessary for the residential consumers to optimize the power scheduling strategy. The existing… read more here.
Keywords: preference; residential load; consumer; efficiency ... See more keywords
Probabilistic deep neural network price forecasting based on residential load and wind speed predictions
Sign Up to like & getrecommendations! Published in 2019 at "IET Renewable Power Generation"
DOI: 10.1049/iet-rpg.2018.6257
Abstract: Precise price forecasting can lessen the risk of participation in the deregulated electricity market. On account of a large amount of historical data, deep learning based methods can be a promising solution to achieve an… read more here.
Keywords: neural network; residential load; price forecasting; price ... See more keywords
Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2873712
Abstract: The energy consumption by non-residential consumers in China accounts for a significant proportion of the total energy consumption in the society. Thus, accurate non-residential load forecasting plays an increasingly essential role in the future grid… read more here.
Keywords: residential consumers; load forecasting; lstm recurrent; residential load ... See more keywords
Short-Term Residential Load Forecasting Based on Resident Behaviour Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2017.2688178
Abstract: Residential load forecasting has been playing an increasingly important role in modern smart grids. Due to the variability of residents’ activities, individual residential loads are usually too volatile to forecast accurately. A long short-term memory-based… read more here.
Keywords: term residential; short term; residential load; load forecasting ... See more keywords
Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment
Sign Up to like & getrecommendations! Published in 2017 at "Energies"
DOI: 10.3390/en10091351
Abstract: It has been recognized that an increased penetration of electric vehicles (EVs) may potentially alter load profile in a distribution network. As EVs are regarded as a diversely distributed load so a deterministic method, to… read more here.
Keywords: residential load; voltage unbalance; pattern associated; load ... See more keywords
Implementing Very-Short-Term Forecasting of Residential Load Demand Using a Deep Neural Network Architecture
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16093636
Abstract: The need for and interest in very-short-term load forecasting (VSTLF) is increasing and important for goals such as energy pricing markets. There is greater challenge in predicting load consumption for residential-load-type data, which is highly… read more here.
Keywords: network; load demand; load; residential load ... See more keywords