62 lines
6.3 KiB
Markdown
62 lines
6.3 KiB
Markdown
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# China Electricity Spot Market Price Data Sources
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### Day-Ahead (日前) & Real-Time (实时) Prices — Reference Guide
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*Compiled July 2026. Markets in normal operation: Shanxi, Guangdong, Shandong, Gansu, West Inner Mongolia (Mengxi), Hubei, Zhejiang. In continuous-settlement trial: Shaanxi, Liaoning, Jiangsu, Anhui, and others.*
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---
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## 1. Official Provincial Disclosure Platforms (Free)
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These are the primary/authoritative sources. Data is published by each province's power trading center (电力交易中心) or the market information disclosure platform run by the grid dispatch center. State Grid provinces typically use the "新一代电力交易平台" portal pattern `https://pmos.<province-code>.sgcc.com.cn`.
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| Province / Market | Operator & Portal | Data Available | Granularity | History Depth | Cost / Access |
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| Shanxi 山西 | 山西电力交易中心, `https://pmos.sx.sgcc.com.cn` | DA & RT clearing prices (system + nodal), load, renewables output, tie-line flows | 15-min (96 points/day) | Recent days–weeks public; full history for registered members | Free; full download needs market registration + CA certificate |
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| Shandong 山东 | 山东电力交易中心, `https://pmos.sd.sgcc.com.cn` | DA & RT clearing prices (incl. frequent negative midday prices), load, renewables | 15-min | Same pattern as above | Free public pages; member login for bulk export |
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| Guangdong 广东 | 广东电力交易中心 `https://pm.gd.csg.cn`; regional: 广州电力交易中心 `https://www.gzpec.cn` | DA & RT prices (nodal/unified settlement point), monthly settlement averages | 15-min / hourly summaries | Recent data public; members get archives | Free; registration for full access |
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| Gansu 甘肃 | 甘肃电力交易中心, `https://pmos.gs.sgcc.com.cn` | DA & RT prices (province-wide settlement point since 2024; pre-2024 was split east/west zones) | 15-min | Note: pre-2024 zonal history is inconsistent with current series | Free / member |
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| Mengxi 蒙西 | 内蒙古电力交易中心, `https://www.imptc.com` | DA & RT prices, market notices | 15-min | Recent public | Free / member |
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| Zhejiang 浙江 / Hubei 湖北 / others | Respective provincial trading centers (`pmos.zj.sgcc.com.cn`, `pmos.hb.sgcc.com.cn`, etc.) | DA & RT prices during continuous settlement operation | 15-min | Recent public | Free / member |
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**Caveats:** Chinese-language only; some portals require mainland IP or browser certificate exceptions; public pages usually show only recent days (long histories require member export or daily scraping); URLs change occasionally — verify before relying on them.
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---
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## 2. Commercial Data Platforms / Aggregators
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| Platform | URL | Data Available | Granularity | History Depth | Price |
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| 电查查 (Dianchacha) | `https://dianchacha.cn` | One-stop panel: DA & RT spot prices for Shanxi, Shandong, Guangdong, Gansu, Zhejiang, Hubei, Yunnan; plus weather/wind/solar generation indices, policy & trading databases | Daily curves; daily / monthly / yearly aggregates | Multi-year (platform launched during pilot era) | Free tier after phone registration; paid membership & API — pricing by quote (contact: dianchacha@mlogcn.com) |
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| 兰木达 (Lambda) | `https://www.lambda.com.cn` | Spot-market trading services: price data, price forecasts, bidding strategy tools (strong in Shandong/Shanxi) | 15-min forecast & actuals | Multi-year internal database | B2B service contracts, quote-based |
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| 泛能网 (Fanneng, ENN 新奥) | `https://etpage.fanneng.com` | Free monthly spot-market summaries (Shanxi, Shandong, Guangdong, Mengxi): DA/RT monthly averages, mid/long-term trade results | Monthly averages, some daily charts | 2021–present articles | Free articles; deeper analytics via customized paid service |
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| 北极星电力市场网 (BJX) | `https://www.bjx.com.cn` | Weekly spot price reports covering 8 markets (Shanxi, Guangdong, Shandong, Mengxi, Shaanxi, Liaoning, Jiangsu, Anhui): weekly max/min DA & RT clearing averages | Weekly/daily averages (not full 96-point curves) | Weekly series, ~2023–present | Free |
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| 电价通 | WeChat mini-program (search 电价通) | Quick spot price lookup for major spot provinces | Daily curves | Recent | Free basic; paid tiers not publicly listed |
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**Note on pricing:** none of these vendors publish rate cards; commercial data subscriptions in this space typically run from a few thousand to tens of thousands of RMB per year depending on provinces, granularity, and API access. Get quotes directly.
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---
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## 3. Financial / Research Data Terminals
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| Provider | URL | Data Available | Granularity | Price |
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| Wind 万得 | `https://www.wind.com.cn` | Selected provincial spot price series, coal & power indices | Daily/monthly | Institutional terminal subscription (tens of thousands RMB/yr) |
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| iFinD 同花顺 | `https://www.51ifind.com` | Similar power-market series | Daily/monthly | Institutional subscription (cheaper than Wind) |
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| CEIC | `https://www.ceicdata.com` | China electricity price indicators (e.g., 36-city retail prices) — regulated tariffs more than spot | Monthly | Institutional subscription |
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| EPS Data | `https://olap.epsnet.com.cn` | China energy statistics databases | Monthly/annual | Institutional subscription |
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These terminals are best for averages and cross-checking; they generally do **not** carry full 15-minute nodal spot curves.
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---
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## 4. Practical Recommendations
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- **Need full 96-point historical curves (research / trading models):** subscribe to 电查查 or a similar vendor, or partner with a registered market participant (售电公司 / generator) who can export archives from the official trading platform.
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- **Need weekly or monthly averages (policy analysis, reporting):** free BJX weekly reports + 泛能网 monthly summaries are sufficient and can be compiled manually.
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- **Building an ongoing dataset:** set up a daily scraper against provincial disclosure pages going forward; historical backfill on public pages is limited, so start early.
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- **Academic use:** check published papers (e.g., Guangdong pilot studies) and think-tank reports (RMI China power market reviews) for cleaned datasets or replication files; some researchers share scraped data on GitHub.
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*Disclaimer: platform coverage, URLs, and access policies change frequently in China's rapidly evolving market — verify current terms with each provider before purchasing.*
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