AI优化效果事后评估列表

GET

/data-board/posthoc-evaluation/{siteId}

基于实际运行数据评估AI优化策略相比纯自发自用模式的真实节省金额

请求参数

Path 参数

Query 参数

Header 参数

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request GET 'http://k28hrq.natappfree.cc/arbitrage/data-board/posthoc-evaluation/' \
--header 'Accept-Language: en-US' \
--header 'Authorization: Bearer {{pc_token}}'

返回响应

🟢200

application/json

Body

示例

成功示例成功示例

{
  "data": [
    {
      "evalDate": "",
      "timeStart": "",
      "timeEnd": "",
      "costComparison": {
        "actualCostCents": 0.0,
        "baselineCostCents": 0.0,
        "savingsCents": 0.0,
        "savingsPercent": 0.0
      },
      "actualEnergy": {
        "gridBuyKwh": 0.0,
        "gridSellKwh": 0.0,
        "pvTotalKwh": 0.0,
        "loadTotalKwh": 0.0
      },
      "baselineEnergy": {
        "gridBuyKwh": 0.0,
        "gridSellKwh": 0.0,
        "pvSelfUseKwh": 0.0,
        "chargeKwh": 0.0,
        "dischargeKwh": 0.0,
        "restoredPvTotalKwh": 0.0
      },
      "report": ""
    }
  ],
  "error": {
    "code": "",
    "msg": ""
  }
}

修改于 2026-03-11 17:47:53

AI策略优化总结

AI事后评估导出Excel