IEEE

Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning

Abstract: Load forecasting in Smart Grids (SG) is a major module of current energy management systems, that play a vital role in optimizing resource allocation, improving grid stability, and assisting ...
note

html: Edit and convert images all in one place. I built a super-functional 'All-in-One Image Workbench' that runs in your browser [Free to use]

Are you tired of the 'little hassles' of image editing? Whether you're creating a blog thumbnail, trying to optimize a website, or uploading smartphone photos to social media... 'I want to resize ...
GitHub

openHalo provides the capability for PostgreSQL to work with applications written for MySQL but provides much more better performance than MySQL!

Migrating from legacy MySQL databases can be time-consuming and resource-intensive. When migrating your databases, you can automate the migration of your database schema and data using HMT (an ...
IEEE

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks

Abstract: The rationale for using enhanced Deep Neural Networks (DNNs) in the power distribution system for short-term load forecasting (STLF) originates from a thorough analysis of current trends, ...