Nature

MPPT algorithms for grid-connected solar systems including deep learning approaches

Photovoltaic (PV) systems, which are the most abundant renewable resources, convert solar radiation into electricity through solar cells but cannot consistently operate at the Maximum Power Point (MPP ...
Scientific Research Publishing

Daungklang, P. and Sathidbhattarasombad, C. (2022) An Experimental Comparison of SES, DES, TES, ARIMA, and LSTM Algorithms for Short Time Series Prediction. Journal of Science ...

ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...
LinkedIn

Stock Price Prediction Using Deep Learning Algorithms (RNN, LSTM and GRU) and Frequency Decomposition

1 Assistant Professor, Department of Financial Engineering, Faculty of Accounting and Financial Sciences, University of Tehran, Tehran, Iran 2 Associate Professor, Department of Financial Engineering, ...
IEEE

Geo-LSTM: A Geometry and Temporal Feature Fusion Algorithm for Multi-Sensor 3D Localization

Abstract: Accurate three-dimensional (3D) localization is critical for robust human-robot collaboration (HRC) in dynamic indoor environments. However, realizing high-precision localization in complex ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
IEEE

Option-Based Deep Reinforcement Learning for Topology Control of Power Systems

Abstract: In this paper, we propose an option-based deep reinforcement learning (DRL) algorithm called option-critic with long short-term memory (OC-LSTM), which combines the option-critic (OC) ...
LinkedIn

Exploring Long Short-Term Memory (LSTM) and Large Language Models (LLMs): Use Cases and Industry Impact

In the ever-evolving field of artificial intelligence (AI), two prominent technologies have emerged as game-changers: Long Short-Term Memory (LSTM) networks and Large Language Models (LLMs). Both of ...
Frontiers

Real-time fault detection for IIoT facilities using GA-Att-LSTM based on edge-cloud collaboration

With the rapid development of Industrial Internet of Things (IIoT) technology, various IIoT devices are generating large amounts of industrial sensor data that are spatiotemporally correlated and ...
Searchenginejournal.com

Google Completes November 2024 Core Update

The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...
Nature

Soft sensor modeling method and application based on TSECIT2FNN-LSTM

In modern industrial production processes, certain key variables are challenging or impossible to measure online due to economic and technological limitations. These variables are typically measured ...