Results 71 to 80 of about 7,190,423 (189)

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

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

Multi-modal adaptive photovoltaic power optimization and combination forecasting based on Q-Learning

电力工程技术
To address the challenges of high volatility and stochasticity in photovoltaic (PV) power series, a multi-modal adaptive PV power optimization forecasting model based on Q-Learning is proposed.
Zhichu WEI, Ping YANG, Qianyufan ZHOU, Wenhao CHEN, Siyang WAN, Jiayan CUI   +5 more
doaj   +1 more source

Enhancing IoT-Based Environmental Monitoring and Power Forecasting: A Comparative Analysis of AI Models for Real-Time Applications

Applied Sciences
The Internet of Things (IoT) is transforming industries by integrating sensors and connectivity into everyday objects, enabling enhanced monitoring, management, and automation through Machine-to-Machine (M2M) communication.
Md Minhazur Rahman, Md Ibne Joha, Md Shahriar Nazim, Yeong Min Jang   +3 more
doaj   +1 more source

A Regional Distributed Photovoltaic Power Forecasting Method Based on Cluster Division and Selection of Representative Plants

Energy Science & Engineering
As the proportion of distributed photovoltaic (DPV) power generation in the energy structure increases, accurate forecasting of its power output is crucial for ensuring the stability and reliability of the power grid.
Honglu Zhu, Xi Zhang, Yuhang Wang, Huang Ding   +3 more
doaj   +1 more source

A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features

Applied Sciences
To address the issue of declining prediction accuracy caused by the lack of data in newly constructed wind and solar power stations, this paper introduces a transfer learning-based forecasting approach for wind and photovoltaic power.
Yuan Wang, Yue Bi, Yu Guo, Xianglong Liu, Weiqiang Sun, Yuan Yu, Jiaqiang Yang   +6 more
doaj   +1 more source

Short-Term Forecasting of Power Production in a Large-Scale Photovoltaic Plant Based on LSTM

Applied Sciences, 2019
Photovoltaic (PV) power is attracting more and more concerns. Power output prediction, as a necessary technical requirement of PV plants, closely relates to the rationality of power grid dispatch.
Mingming Gao, Jianjing Li, Feng Hong, Dongteng Long   +3 more
doaj   +1 more source