Bidirectional LSTM-Based Energy Consumption Forecasting: Advancing AI-Driven Cloud Integration for Cognitive City Energy Management
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Abstract
Efficient energy management is a cornerstone of advancing cognitive cities, where AI, IoT, and cloud computing seamlessly integrate to meet escalating global energy demands. Within this context, the ability to forecast electr... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Energy Load and Power Forecasting · Traffic Prediction and Management Techniques · Air Quality Monitoring and Forecasting
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
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