IEEE

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

Abstract: This paper presents a generic strategy for short-term load forecasting (STLF) based on the support vector regression machines (SVR). Two important improvements to the SVR based load ...
Eos

The AI Revolution in Weather Forecasting Is Here

Storm Agnes is seen over the Bay of Biscay offshore western Europe on 27 September 2023 in this image captured by the Flexible Combined Imager on the Meteosat Third Generation satellite. Credit: ...
IEEE

Time-Segment Photovoltaic Forecasting and Uncertainty Analysis Based on Multi-Objective Slime Mould Algorithm to Improve Support Vector Machine

Abstract: A photovoltaic power prediction and uncertainty analysis method, which is based on time-sharing, multi-objective slime mould optimization algorithm (MOSMA), support vector machine (SVM) and ...
InfoWorld

Oracle’s MySQL HeatWave gets Vector Store, generative AI features

Oracle is adding a Vector Store and new generative AI features to its data analytics cloud service MySQL HeatWave, the company said at its annual CloudWorld conference. The new Vector Store, which is ...
Scientific Research Publishing

Real-Time Crop Prediction Based on Soil Fertility and Weather Forecast Using IoT and a Machine Learning Algorithm ()

Agriculture, the backbone of the economy to most developing countries, should normally contribute to its economic growth. But ignorantly, farmers grow crops by simply taking a piece of land, clearing ...
Nature

Variational quantum approximate support vector machine with inference transfer

A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum ...
LinkedIn

Support Vector Machines (SVM) for Land Cover Mapping

Land cover mapping has become one of the essential studies in environmental and remote sensing science. No, later than the introduction of remote sensing, land cover mapping has gained popularity ...
Frontiers

Levy flight-improved grey wolf optimizer algorithm-based support vector regression model for dam deformation prediction

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...
Nature

Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Electricity demand forecasting is an essential task since it supports making important decisions in power system planning and operation. Overestimation of energy usage results in unnecessary ...
Frontiers

Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...