Load Forecasting

36 papers with code • 0 benchmarks • 2 datasets

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Latest papers with no code

Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction

no code yet • 6 Mar 2024

Accurate electrical load forecasting is of great importance for the efficient operation and control of modern power systems.

Adaptive time series forecasting with markovian variance switching

no code yet • 22 Feb 2024

In this paper, we propose a new way of estimating variances based on online learning theory; we adapt expert aggregation methods to learn the variances over time.

AI-Powered Predictions for Electricity Load in Prosumer Communities

no code yet • 21 Feb 2024

The flexibility in electricity consumption and production in communities of residential buildings, including those with renewable energy sources and energy storage (a. k. a., prosumers), can effectively be utilized through the advancement of short-term demand response mechanisms.

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition

no code yet • 18 Feb 2024

Though the strong capabilities of learning the non-linearity of the load patterns and the high prediction accuracy have been achieved, the interpretability of typical deep learning models for electricity load forecasting is less studied.

Deep Learning-Based Cyber-Attack Detection Model for Smart Grids

no code yet • 14 Dec 2023

In this paper, a novel artificial intelligence-based cyber-attack detection model for smart grids is developed to stop data integrity cyber-attacks (DIAs) on the received load data by supervisory control and data acquisition (SCADA).

Privacy-Preserving Load Forecasting via Personalized Model Obfuscation

no code yet • 21 Nov 2023

The widespread adoption of smart meters provides access to detailed and localized load consumption data, suitable for training building-level load forecasting models.

Load Data Valuation in Multi-Energy Systems: An End-to-End Approach

no code yet • 16 Nov 2023

Accurate load forecasting serves as the foundation for the flexible operation of multi-energy systems (MES).

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting

no code yet • 10 Nov 2023

Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution.

Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System

no code yet • 29 Oct 2023

Specifically, we train an advanced forecasting model (a temporal fusion transformer) using data from multiple different households, and then finetune this global model on a new household with limited data (i. e. only a few days).

Secure short-term load forecasting for smart grids with transformer-based federated learning

no code yet • 26 Oct 2023

Electricity load forecasting is an essential task within smart grids to assist demand and supply balance.