Results 71 to 80 of about 136,820 (296)

Forecasting Electricity Load Demand- An Power System Planning [PDF]

open access: yesJournal of Enterprise and Business Intelligence, 2021
Moving holiday electricity load demand forecasting is one of the most challenging topics in the forecasting area. Forecasting electricity load demand is essential because it involves projecting the peak demand level. Overestimation of future loads results in excess supply. Wastage of this load is not welcome by the international energy network.
openaire   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

open access: yesMolecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken   +7 more
wiley   +1 more source

Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost

open access: yesIEEE Access, 2022
Short term load forecasting is one of the important problems in power system. Accurate forecasting results can improve the flexibility of power market and resource utilization efficiency, which is of great significance to the efficient operation of power
Xiaotong Yao, Xiaoli Fu, Chaofei Zong
doaj   +1 more source

Jaringan Syaraf Tiruan Sebagai Metode Peramalan Beban Listrik Harian Di PT. Pismatex Pekalongan [PDF]

open access: yes, 2014
Load electricity forecasting of industry can provide an information support to the Top Management and other stakeholders in terms of estimating and monitoring the power requirements and effort in providing it. With the artificial neural network method as
Assaffat, L. (Luqman)   +1 more
core  

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

open access: yesMolecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon   +4 more
wiley   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

PERAMALAN BEBAN LISTRIK MENGGUNAKAN JARINGAN SARAF TIRUAN METODE KOHONEN [PDF]

open access: yes, 2010
Electrical energy consumption has an important role in the implementation of development for the welfare and increase economic activity. Thus, necessary for forecasting electricity load menyelenggakan electric power supply business in a number of evenly.
., Setiawardhana   +2 more
core  

Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting [PDF]

open access: yes, 2017
This paper proposes a novel Non-Intrusive Load Monitoring (NILM) method which incorporates appliance usage patterns (AUPs) to improve performance of active load identi- fication and forecasting.
Dinesh, C.   +4 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine

open access: yesEnergies
Accurate power load forecasting is crucial for ensuring grid stability, optimizing economic dispatch, and facilitating renewable energy integration in modern smart grids.
Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan
doaj   +1 more source

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