Results 81 to 90 of about 418,008 (299)

Optimizing solar photovoltaic power forecasting via multi-architecture machine learning framework with multiple hyperparameter optimization techniques

Energy Strategy Reviews
The integration of solar photovoltaic systems into power grids has become crucial for sustainable energy development, particularly in extreme climate conditions where accurate power forecasting remains challenging.
Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Dongliang Xiao, Nauman Ali Larik   +5 more
doaj   +1 more source

Evaluation of electrical load demand forecasting using various machine learning algorithms

Frontiers in Energy Research
The energy sector heavily relies on a diverse array of machine learning algorithms for power load prediction, which plays a pivotal role in shaping policies for power generation and distribution. The precision of power load prediction depends on numerous
Akanksha Jain, S. C. Gupta, Jinran Wu, Yanan Song, Minh Quan Duong   +4 more
semanticscholar   +1 more source

3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response

Advanced Engineering Materials, EarlyView.
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley   +1 more source

Fusion of IRST and Radar Measurements for 3D Target Tracking [PDF]

, 2009
Two different types of measurement fusion methods for fusing IRST (infrared search and track) and radar measurements to track a target in 3D Cartesian coordinates are evaluated and discussed in this paper.
Naidu, VPS
core  

A Solar Time Based Analog Ensemble Method for Regional Solar Power Forecasting

IEEE Transactions on Sustainable Energy, 2019
This paper presents a new analog ensemble method for day-ahead regional photovoltaic (PV) power forecasting with hourly resolution. By utilizing open weather forecast and power measurement data, this prediction method is processed within a set of ...
Xinmin Zhang, Yuan Li, Siyuan Lu, H. Hamann, B. Hodge, B. Lehman   +5 more
semanticscholar   +1 more source

Understanding and Optimizing Li Substitution in P2‐Type Sodium Layered Oxides for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous 
Mingfeng Xu, Giovanni Gammaitoni, Michael Häfner, Eduardo Villalobos‐Portillo, Carlo Marini, Matteo Bianchini   +5 more
wiley   +1 more source

Estimation of Daily Photovoltaic Power One Day Ahead With Hybrid Deep Learning and Machine Learning Models

Energy Science & Engineering
In this study, hybrid LSTM‐SVM and hybrid LSTM‐KNN models were developed to predict hourly PV power one day ahead. The performances of these hybrid models were compared with K‐nearest neighbors (KNN), long short‐term memory (LSTM), and support vector ...
Tuba T. Ağır
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

River stream flow prediction through advanced machine learning models for enhanced accuracy

Results in Engineering
The Narmada River basin, a significant water resource in central India, plays a crucial role in supporting agricultural, industrial, and domestic water supply.
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, Khaled Mohamed Khedher, Mohamed Abdelaziz Salem   +4 more
doaj   +1 more source