Results 31 to 40 of about 649,385 (296)
Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]
, 2003 Electric load forecasting is essential to improve the reliability of the ac power line data network and provide optimal load scheduling in an intelligent home system.
Lam, HK, Leung, FHF, Ling, SH, Tam, PKS
core +1 more source
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
, 2017 The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective ...
Bianchi, Filippo Maria +4 more
core +1 more source
Development of Neurofuzzy Architectures for Electricity Price Forecasting [PDF]
, 2020 In 20th century, many countries have liberalized their electricity market. This power markets liberalization has directed generation companies as well as wholesale buyers to undertake a greater intense risk exposure compared to the old centralized ...
Alshejari, A +5 more
core +1 more source
Nonvolatile CMOS Memristor, Reconfigurable Array, and Its Application in Power Load Forecasting
IEEE Transactions on Industrial InformaticsThe high cost, low yield, and low stability of nanomaterials significantly hinder the application and development of memristors. To promote the application of memristors, researchers proposed a variety of memristor emulators to simulate memristor ...
Quanli Deng +6 more
semanticscholar +1 more source
A Power Load Forecasting Model Based on FA-CSSA-ELM
, 2021 Accurate and stable power load forecasting methods are essential for the rational allocation of power resources and grid operation. Due to the nonlinear nature of power loads, it is difficult for a single forecasting method to complete the forecasting ...
Zuoxun Wang +3 more
semanticscholar +1 more source
, 2006 For the electric power factory, the power load forecasting problem, including load forecasting and consumption predicting, is crucial to work planning. According to the predicting time, it can be divided into long-term forecasting, mid-term forecasting ...
Hao, Z., Lu, L., Shao, D.
core
A Hybrid System Based on LSTM for Short-Term Power Load Forecasting
Energies, 2020 As the basic guarantee for the reliability and economic operations of state grid corporations, power load prediction plays a vital role in power system management.
Yu Jin +3 more
semanticscholar +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Cooling load forecasting-based predictive optimisation for chiller plants [PDF]
, 2019 Extensive electric power is required to maintain indoor thermal comfort using heating, ventilation and air conditioning (HVAC) systems, of which, water-cooled chiller plants consume more than 50% of the total electric power. To improve energy efficiency,
Feng, W, Lee, EWM, Wang, L, Yuen, RKK
core +1 more source