Results 81 to 90 of about 137,935 (294)
IEEE AccessAccurate power load forecasting for large industrial users plays a crucial role in developing effective power consumption plans and energy-saving strategies. It also contributes to optimizing the operational efficiency of the power grid.
Zhaoguo Wang +4 more
doaj +1 more source
Risk-Averse Model Predictive Operation Control of Islanded Microgrids
, 2019 In this paper we present a risk-averse model predictive control (MPC) scheme for the operation of islanded microgrids with very high share of renewable energy sources.
Hans, Christian A. +4 more
core +1 more source
Power Load Forecasting Based on Wireless Sensor Networks
International Journal of Online and Biomedical Engineering (iJOE), 2017 At present, wireless sensor networks (WSN) technology is a field of much research interest in the area of information technology. The application of wireless sensor networks is expected to be very broad. With the development of communication protocol and their corresponding components, wireless sensor networks technology plays an increasingly important
Xingping Liu, Weidong Li
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Molecular cancer prevention: Intercepting disease
Molecular Oncology, EarlyView.Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco +2 more
wiley +1 more source
Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties
, 2014 Efforts to ensure reliable operation of existing low-voltage distribution systems with high photovoltaic (PV) generation have focused on the possibility of inverters providing ancillary services such as active power curtailment and reactive power ...
Dall'Anese, Emiliano +3 more
core +1 more source
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Molecular Oncology, EarlyView.Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
FEBS Open Bio, EarlyView.ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Power short-term load forecasting based on big data and optimization neural network
Tongxin xuebao, 2016 With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited
Xin JIN +5 more
doaj +2 more sources
An Unsupervised Deep Learning Approach for Scenario Forecasts
, 2018 In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and data-driven,
Chen, Yize, Wang, Xiyu, Zhang, Baosen
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