Stars
课程编排系统,培训机构(高中)排课系统Java + Springboot2.x + MyBatis-Plus + MySQL 8.x + Vue
UI-Venus is a native UI agent designed to perform precise GUI element grounding and effective navigation using only screenshots as input.
基于SpringBoot + Vue的学生选课系统 教务管理、排课算法。 学生专业分布状况统计图,访问记录统计图,课程预约人数统计图,参加课程学生情况,学生选课信息,教员代课信息 管理员:课程管理,学生管理,教员管理,选课管理,系统用户管理,系统公告管理,系统动态管理,系统账户封禁 教员:教员信息管理,查看学生列表信息,教学任务管理,选课或停课,查看当前课程学生情况 学生:个人信息修改,课程…
校园信息墙、表白墙、万能墙。移动端,基于uni-app、uView,支持小程序、H5、Android和IOS
光伏功率预测。通过LSTM模型对历史气象和电力数据进行分析,预测未来短时内的光伏功率输出。
VPP dataplane implementation for Calico
A comprehensive Python library for virtual power plant management, simulation, and research
SFML is the first fully local AI solar forecast for Home Assistant, powered by a local Attention Transformer. No external AI — such as ChatGPT, Gemini, or Grok — required. Runs entirely on your dev…
Open Source Solar Site Level Forecast
Solar Forecasting using PVNet on Open Data
Stanford sky images and PV power generation dataset for solar forecasting related research and applications
Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
short-term load forecasting with deep residual networks
使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power …
Electricity load forecasting with LSTM (Recurrent Neural Network)
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Low-code programming for event-driven applications
A topic-centric list of HQ open datasets.
Proxmox VE Helper-Scripts (Community Edition)
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
下一代月光串流客户端,致力于提升使用体验。 The next generation of the Moonlight Streaming client is dedicated to improving the experience.