Customer baseline load estimation for virtual power plants in demand response: An attention mechanism-based generative adversarial networks approach
The virtual power plant (VPP) that aggregates demand-side resources, is a new type of
entity to participate in the electricity market and demand response (DR) program. Accurate …
entity to participate in the electricity market and demand response (DR) program. Accurate …
A novel fractional discrete grey model with variable weight buffer operator and its applications in renewable energy prediction
With the continuous depletion of global fossil energy, optimizing the energy structure has
become the focus of attention of all countries. With the support of policy and finance …
become the focus of attention of all countries. With the support of policy and finance …
Distributed baseline load estimation for load aggregators based on joint FCM clustering
Residential customer baseline load (CBL) estimation is critical to Demand Response (DR)
implementation. The accurate estimation of baseline load is challenging because of the …
implementation. The accurate estimation of baseline load is challenging because of the …
[PDF][PDF] A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective
This study uses the Scopus and Web of Science databases to review quantitative methods
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …
Comparison of baseline load forecasting methodologies for active and reactive power demand
Forecasting the electricity consumption is an essential activity to keep the grid stable and
avoid problems in the devices connected to the grid. Equaling consumption to electricity …
avoid problems in the devices connected to the grid. Equaling consumption to electricity …
Load forecasting and electricity consumption by regression model
M Sukhonos, V Babaiev, V Pliuhin, V Teterev… - … Conference on Smart …, 2022 - Springer
A non-standard method of forecasting load and power consumption using a regression
model is considered. The training sample is taken as a basis, which is a set of values of the …
model is considered. The training sample is taken as a basis, which is a set of values of the …
Short-Term Residential Load Forecasting Based on K-Shape Clustering and Domain Adversarial Transfer Network
In recent years, the expansion of the power grid has led to a continuous increase in the
number of consumers within the distribution network. However, due to the scarcity of …
number of consumers within the distribution network. However, due to the scarcity of …
Segmented zero-inflated Poisson mixed effects model with random changepoint
P Dourado, AC Pedroso-de-Lima… - arXiv preprint arXiv …, 2023 - arxiv.org
The COVID-19 pandemic has had a substantial impact on hospital services, as many
institutions have observed a surge in healthcare-associated infections (HAIs) despite …
institutions have observed a surge in healthcare-associated infections (HAIs) despite …
Multifeature Short‐Term Power Load Forecasting Based on GCN‐LSTM
H Chen, M Zhu, X Hu, J Wang, Y Sun… - … on Electrical Energy …, 2023 - Wiley Online Library
With the construction of a new‐type power system under the China “double carbon” target
and the increasing diversification of the energy demand on the user side, the short‐term …
and the increasing diversification of the energy demand on the user side, the short‐term …
[HTML][HTML] Online Inspection Method and System Design for Screw Threads of Rebar Head Based on Machine Vision
L Liu, Z Liu, X Qian - Buildings, 2024 - mdpi.com
An online inspection method based on machine vision was proposed and validated to
address the issues of high work intensity, low efficiency, low accuracy, and risk of missed …
address the issues of high work intensity, low efficiency, low accuracy, and risk of missed …