农作物能耗数据集

1.数据采集：通过传感器、智能电表采集灌溉、温控、农机等设备能耗及土壤、气象关联数据；2. 预处理：采用数据清洗剔除异常值，标准化能耗与生产场景对应字段；3. 核心算法：运用 PID 控制算法优化设备运行，LSTM 模型预测能耗趋势，结合峰谷电价策略生成用能方案，保障能耗管控精准性。1. Data Collection: Collect energy consumption data of equipment such as irrigation, temperature control and agricultural machinery, as well as associated soil and meteorological data via sensors and smart meters; 2. Preprocessing: Perform data cleaning to eliminate outliers, and standardize the fields corresponding to energy consumption and production scenarios; 3. Core Algorithms: Apply PID control algorithm to optimize equipment operation, use LSTM model to predict energy consumption trends, and combine with peak-valley electricity pricing strategy to generate energy utilization plans, so as to ensure the accuracy of energy consumption control.

搜集汇总

背景与挑战

背景概述

该数据集由贵州省灵峰科技产业园有限公司自行产生，聚焦农业领域，规模为10kb，每年更新。它通过传感器和智能电表采集设备能耗数据，应用PID算法和LSTM模型优化能耗管理，支持农业用能优化、低碳规划和成本控制等场景，旨在提升农业生产的绿色高效性。