Results 91 to 100 of about 464,587 (290)

Hardware-Centric Exploration of the Discrete Design Space in Transformer–LSTM Models for Wind Speed Prediction on Memory-Constrained Devices

Energies
Wind is one of the most important resources in the renewable energy basket. However, there are questions regarding wind as a sustainable solution, especially concerning its upfront costs, visual impact, noise pollution, and bird collisions.
Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Kashish Ara Shakil, Mudasir Ahmad Wani, Muhammad Asim   +6 more
doaj   +1 more source

Wind power forecasting error-based dispatch method for wind farm cluster

Journal of Modern Power Systems and Clean Energy, 2013
With the technical development of wind power forecasting, making wind power generation schedule in power systems become an inevitable tendency. This paper proposes a new dispatch method for wind farm (WF) cluster by considering wind power forecasting ...
Ning Chen, Qi Wang, Liangzhong Yao, Lingzhi Zhu, Yi Tang, Fubao Wu, Mei Chen, Ningbo Wang   +7 more
doaj   +1 more source

Infection forecasts powered by big data [PDF]

Nature, 2018
Web searches, medical records and networks of local volunteers are enabling faster control of disease outbreaks. Web searches, medical records and networks of local volunteers are enabling faster control of disease outbreaks.
openaire   +2 more sources

Colombian Purchasing Power Parity Analysed Using a Framework of Multivariate Cointegration [PDF]

This paper tests for purchasing power parity (PPP)between Colombia and its main trading partners using the Johansen framework of multivariate cointegration.
Hugo OLiveros C., Peter Rowland
core  

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular 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, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

, 2018
The non-stationarity characteristic of the solar power renders traditional point forecasting methods to be less useful due to large prediction errors.
Mishra, Sakshi, Palanisamy, Praveen
core   +1 more source

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

Molecular 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, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Study on a simulation method for photovoltaic power output series based on the headroom model

Frontiers in Smart Grids
Existing photovoltaic (PV) output simulation methods often rely on artificial neural networks for short-term forecasting, and there has been a struggle to capture long-term patterns and stochastic fluctuations when using Markov Chain Monte Carlo ...
Hong Dong, Yuqun Gao, Liujun Hu, Yanna Gao, Yue Xing   +4 more
doaj   +1 more source

Deep Power Forecasting Model for Building Attached Photovoltaic System

IEEE Access, 2018
Geographical dispersion and output power fluctuations are the major barriers to efficient utilization and grid connection of building attached photovoltaic (BAPV).
Liufeng Du, Linghua Zhang, Xiyan Tian
doaj   +1 more source

Does Consumer Confidence Forecast Household Spending? The Euro Area Case [PDF]

The following analysis, based on error correction models, suggests that consumer confidence, together with traditional macroeconomic variables, contains a forecasting and explicative power on consumption. By including consumer confidence in a consumption
Dion, David Pascal
core   +1 more source