Results 91 to 100 of about 72,416 (315)

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

Predicting Power Consumption Using Deep Learning with Stationary Wavelet

Power consumption in the home has grown in recent years as a consequence of the use of varied residential applications. On the other hand, many families are beginning to use renewable energy, such as energy production, energy storage devices, and ...
Faouzi Derbel, Majdi Frikha, Ahmed Fakhfakh, Khaled Taouil   +3 more
core   +1 more source

Probabilistic Wind Power Forecasting with Hybrid Artificial Neural Networks

, 2016
The uncertainty of wind power generation imposes significant challenges to optimal operation and control of electricity networks with increasing wind power penetration.
Nielsen, AH, Song, Yonghua, Wan, C, Xu, Z, Nielsen, Arne Hejde, Wan, Can, Song, Y, Yang, G, Yang, Guangya, Xu, Zhao   +9 more
core   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

FEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth, Moritz Koch, Le‐Han Rössner, Johanna Eichhorn, Denys Pogoryelov, Matthias P. Mayer, Jude M. Przyborski   +6 more
wiley   +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

Short-term electricity price forecasting with time series models: A review and evaluation [PDF]

We investigate the forecasting power of different time series models for electricity spot prices. The models include different specifications of linear autoregressive time series with heteroscedastic noise and/or additional fundamental variables and non ...
Rafal Weron, Adam Misiorek
core  

Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique

, 2020
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure based ...
Hasnain Iftikhar, Sajid Ali, Ismail Shah
core   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Ultra-short-term power forecasting for distributed photovoltaic systems based on similar time period matching and graph modeling

电力工程技术
Accurate power forecasting of distributed photovoltaic (PV) is crucial for the safe and stable operation of power systems. To enhance the ability of distributed PV forecasting models to accurately match and identify temporal and spatial information from ...
Yi ZHOU, Cheng LI, Changchun CAI, Qinglun SHI, Shixi HOU   +4 more
doaj   +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