Results 231 to 240 of about 215,326 (298)

Fault Recovery Strategy with Net Load Forecasting Using Bayesian Optimized LSTM for Distribution Networks. [PDF]

Entropy (Basel)
Ding Z, Chu Y.
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Prediction of electricity consumption and hydropower production in the smart power grid based on the gated recurrent unit neural network and modified future search algorithm. [PDF]

Sci Rep
Tang H, Wang Y, Yuan X, Razmjooy N.
europepmc   +1 more source

Wastewater as an early indicator for short-term forecasting COVID-19 hospitalization in Germany. [PDF]

BMC Public Health
Radermacher J, Thiel S, Kannt A, Fröhlich H.   +3 more
europepmc   +1 more source

Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]

PLoS One
Pérez J, Lobos G, Bonacic M.
europepmc   +1 more source

Hybrid modeling and forecasting of COVID-19: integrating SEAIQHRD and GPR for improved predictions. [PDF]

BMC Infect Dis
Rao MA, Jaradat EK, Devi MP, Dhandapani PB, Nalule RM, Al-Hmoud M.   +5 more
europepmc   +1 more source

Optimized energy management of PV-Powered lighting system for smart cities using perfumer optimization algorithm and graph ensemble neural network. [PDF]

Sci Rep
Hussain Z, Selvam P, Sivaramkrishnan M, Ramkumar MS, Paramasivam S, Ghouse M, Khan TMY, Khan MA, Zewdie A.   +8 more
europepmc   +1 more source

KALFormer: Knowledge-augmented attention learning for long-term time series forecasting with transformer. [PDF]

PLoS One
Dong X, Yang Q, Cheng W, Zhang Y.
europepmc   +1 more source

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An ADMM-LSTM framework for short-term load forecasting

Neural Networks, 2023
Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in volume and variety of energy data provided by renewables, electric vehicles and other sources, long short-term memory (LSTM) has emerged as an attractive approach for STLF due to its ...
Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang   +4 more
openaire   +5 more sources