MyEMS开源能源管理系统用于建筑、工厂、商场、医院、园区的电、水、气等能源数据采集、分析、报表,还有光伏、储能、充电桩、微电网、设备控制、故障诊断、工单管理、人工智能优化等可选功能。资深专业团队开发维护,保障长期支持。用开源助力实现碳达峰碳中和目标! “技术上游”“源头厂家”“基础软件”“自主可控”“架构清晰”“运行稳定” 【官网】 https://myems.io
📙 致力打造完善的 Java 后端知识体系. Not only an Interview-Guide, but also a Learning-Direction.
使用LSTM及股票因子数据预测未来收益,使用LRP(layer-wise relevance propagation)增强网络可解释性
Battery data processing.
Prediction of battery state from charging/discharing profile
Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Predicting Usable Lifetime of Lithium Ion Batteries
Python package for predicting lithium-ion battery degradation using few cycles of usage.
Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).
Prediction of RUL of Lithium ion battery
:paperclip:Some useful apps based on PyQt5. | 谷歌翻译、bilibili视频下载、华科电费查询、猫耳FM音频下载、无损音乐下载、华科图书馆查询、词云生成器etc.
A simple and naive battery modelisation + Kalman filter for state of charge (SoC) estimation
A Kalman Filter that estimates the state of charge of 2 Li-ion cells
Battery state of charge prediction based on machine learning algorithm for competition