Results 41 to 50 of about 649,385 (296)

Local Short Term Electricity Load Forecasting: Automatic Approaches

, 2017
Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as
Bianchi, Filippo Maria, Dang-Ha, The-Hien, Olsson, Roland   +2 more
core   +1 more source

Evaluating load balancing policies for performance and energy-efficiency [PDF]

, 2016
Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis.
Berg, Freek van den, Haverkort, Boudewijn R., Postema, Björn F.   +2 more
core   +4 more sources

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

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management [PDF]

, 2017
Electricity load forecasting, optimal power system operation and energy management play key roles that can bring significant operational advantages to microgrids.
Da Costa Mendes, Paulo Renato, Guzmán Sánchez, José Luis, Hernández Hernández, César, Moreno Úbeda, José Carlos, Normey Rico, Julio Elías, Rodríguez Díaz, Francisco   +5 more
core   +4 more sources

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

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model

, 2018
Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power ...
Khuntia, Swasti R., Rueda, José L., van der Meijden, Mart A. M. M.   +2 more
core   +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