Coastal home shows far stronger weather-linked electricity demand than inland house
A study of two monitored Indian homes found the coastal dwelling in Mangalore showed far stronger weather-linked electricity demand than ...
A study of two monitored Indian homes found the coastal dwelling in Mangalore showed far stronger weather-linked electricity demand than ...
A new deep learning model combining wavelet decomposition, a CNN and LSTM layers achieved an RMSE of 0.09 in forecasting ...
A new open access study proposes a four-layer framework combining machine learning forecasting, uncertainty-aware optimization, and automated fault redispatch for ...
A new study finds hierarchical reconciliation sharply improves forecast coherence while topology-aware conformal calibration fails a matched-null test.
Researchers have built an explainable stacking machine learning framework that jointly forecasts electrical load and predicts transformer remaining lifespan in ...
A weather-aware recurrent neural network delivered more accurate extreme-condition electricity-load forecasts while using an 8.1 MB edge footprint and 9.2-millisecond ...
A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...
A large language model that forecasts load during maintenance windows helps cut cumulative outage risk from 38.1 to 2.6 on ...
The distinction between the measured dataset and the synthetic temporal extension deserves particular attention, because it reflects a broader methodological ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
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© 2025 Scienmag - Science Magazine