Results 51 to 60 of about 136,820 (296)
Urban Saturated Power Load Analysis Based on a Novel Combined Forecasting Model
Information, 2015 Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself ...
Huiru Zhao, Sen Guo, Wanlei Xue
doaj +1 more source
Probabilistic Forecasting of Available Load Supply Capacity for Renewable-Energy-Based Power Systems
Applied Sciences, 2023 In order to accurately analyze the load supply capability of power systems with high penetration of renewable energy generation, this paper proposes a probabilistic available load supply capability (ALSC) forecasting method.
Qizhuan Shao +6 more
doaj +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
Energies, 2023 With the increasing demand of the power industry for load forecasting, improving the accuracy of power load forecasting has become increasingly important.
Wenhui Zeng +6 more
doaj +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
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
Fuzzy Load Forecasting of Electric Power System
Journal of Computers, 2012 In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing.
Yan Yan, Aimin Yang
openaire +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Short-term power demand forecasting using the differential polynomial neural network [PDF]
, 2015 Power demand forecasting is important for economically efficient operation and effective control of power systems and enables to plan the load of generating unit.
Zjavka, Ladislav
core +2 more sources