Load Forecast In Ac Network TRIZ Cases
- Power Grid Reconfiguration for Preemptive DER Resilience Dispatch
Probabilistic optimization ranks pre-storm DER placement, dispatch, and switch changes to keep more critical loads online during outages.
- Power Network Islanding for Extreme Weather Resilience
Probabilistic optimization ranks preemptive islanding and microgrid actions before storms to keep more load online and cut outage recovery time.
- Building Energy Storage Selection for Surplus PV Cost Reduction
When PV output exceeds building demand, the server selects the storage facility whose hold time and cost savings best fit the surplus period.
- Transformer Station Reactive Power Forecasting Under Abnormal Grid Events
Abnormal load transfers and reactive power regulation are detected and corrected to improve transformer station reactive power forecasts.
- Power Usage Interface for Intuitive Device Control
Visual power regions let users expand or contract device areas to understand consumption and control energy use more intuitively.
- Home Energy Scoring With AI-Based Efficiency Recommendations
AI combines utility, sensor, and user-input data to score home energy use and deliver actionable efficiency recommendations.
- Home Energy Scoring Using AI and Multi-Source Usage Data
Multi-source home energy data is turned into AI-based scores and targeted recommendations, helping users compare usage and improve efficiency.
- Blockchain VPP Coordination for Real-Time Resource Allocation
Distributed blockchain nodes and event-driven response improve VPP transparency, power balancing, and real-time transaction coordination.
- Electrical Thermal Load Forecasting with Trend-Segmented ELM
Trend-segmented historical load curves and ELM training improve 24-hour electrical thermal load prediction across changing daily time sections.
- Wide-Area Energy Control for Data Center Source Coordination
A vendor-agnostic controller links remote dispatch with local energy sources to simplify data center integration and reduce control latency.
- Speech-Based Power Demand Queries for Fast Emergency User Response
Speech-to-text and industry term analysis let power users self-serve demand queries and receive timely alerts during emergencies.
- Multi-Port Distribution Market Model for DER Constraint Bidding
A compact multi-port model captures voltage and line-flow limits so DSOs can bid DER flexibility into ISO markets without oversimplifying.
- Forecast-Based Load Shedding for Resource Distribution Networks
Forecasted network demand is used to time load shedding and select meters by expected gain, helping prevent overconsumption and collapse.
- Forecast-Based Load Shedding for Smart Meter Network Stability
Forecasted network demand is used to select eligible meters and time load shedding, preventing overload without unnecessary service disruption.
- Meter-Targeted Load Shedding for Demand Variation Control
Forecasted network demand is used to pick high-gain meters for future load shedding, improving stability during demand swings.
- Household Electricity Load Prediction With Neural Error Correction
A segmented household load model plus neural error correction improves prediction accuracy without storing large historical datasets.