Products
Load Forecasting System LVF
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Data Fusion, Flexible ForecastingIntegrating long-term load patterns from historical big data while incorporating the latest real-time load and meteorological data ensures that forecasts can both capture macro trends and flexibly adjust to real-time changes. |
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Intelligent Identification, Efficient SchedulingLeveraging advanced machine learning algorithms, the model automatically mines and identifies cyclical patterns in electricity load from historical data, distinguishing between weekdays, weekends, and holidays, and identifying daily peak and off-peak periods. This allows for the development of appropriate power dispatch plans in advance, improving energy efficiency. |
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Real-time corrections to address emergenciesA real-time data correction mechanism is introduced to overlay the latest data of the day with historical patterns, allowing for timely fine-tuning of forecast results to effectively respond to emergencies such as temporary power outages and unusual weather conditions. |
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Decay old data, increase timelinessApply "time decay" to old historical data, making the most recent data have a greater impact on the forecast. This prevents outdated electricity usage habits from interfering with current decisions, making forecasts more timely. |
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Room 1005, Building 30, Suzhou Nano City, 99 Jinji Lake Avenue, Suzhou City, Jiangsu Province
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