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Advanced Search Results For "LOAD forecasting (Electric power systems)"

1 - 10 of 3,789 results for
 "LOAD forecasting (Electric power systems)"
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Optimised extreme gradient boosting model for short term electric load demand forecasting of regional grid system.

Publication Type: Academic Journal

Source(s): Scientific Reports. 11/11/2022, Vol. 12 Issue 1, p1-12. 12p.

Abstract: Load forecast provides effective and reliable guidance for power construction and grid operation. It is essential for the power utility to forecast the exact in-future coming energy demand. Advanced machine learning methods can support competently for ...

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A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems.

Publication Type: Academic Journal

Source(s): Energies (19961073). Sep2022, Vol. 15 Issue 18, p6729-6729. 31p.

Abstract: The paper conducts a literature review of applications of autoregressive methods to short-term forecasting of power demand. This need is dictated by the advancement of modern forecasting methods and their achievement in good forecasting efficiency in p...

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Application of Data Mining Algorithm in Electric Power Marketing Inspection Forecast Analysis.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 8/28/2022, p1-7. 7p.

Abstract: In order to improve the accuracy of power load forecasting and deal with the challenge of insufficient stand-alone computing resources brought by the intelligent power system, data extraction algorithms are used in energy market analysis. Preliminary w...

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Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts.

Publication Type: Academic Journal

Source(s): Energies (19961073). Nov2022, Vol. 15 Issue 21, p8062. 20p.

Abstract: Integrating new renewable energy resources requires robust and reliable forecasts to ensure a stable electrical grid and avoid blackouts. Sophisticated representation learning techniques, such as autoencoders, play an essential role, as they allow for ...

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Urban monthly power load forecasting based on economy-meteorology-gas demand coupling.

Publication Type: Academic Journal

Source(s): Electrical Engineering. Oct2022, Vol. 104 Issue 5, p3497-3507. 11p.

Abstract: Accurate power load forecasting is the key foundation and important premise of urban power system planning. Considering that urban power load demand is closely related to economic development and meteorological conditions, and with the application and ...

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An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Power Systems. May2022, Vol. 37 Issue 3, p2220-2232. 13p.

Abstract: The reliable operation of a power distribution system relies on a good prior knowledge of its topology and its system state. Although crucial, due to the lack of direct monitoring devices on the switch statuses, the topology information is often unavai...

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Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network.

Publication Type: Academic Journal

Source(s): Sensors (14248220). Oct2022, Vol. 22 Issue 20, pN.PAG-N.PAG. 27p.

Abstract: Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units. Thus, it is imperative to present new incentive methods to motivate such power sy...

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Short‐term load forecasting of the integrated energy system considering the peak‐valley of load correlations.

Publication Type: Academic Journal

Source(s): IET Generation, Transmission & Distribution (Wiley-Blackwell). Jul2022, Vol. 16 Issue 14, p2791-2804. 14p.

Abstract: At different times, the load correlation of the integrated energy system (IES) is different and its changes over time are regular. However, the regularity of such changes is rarely considered in the current IES prediction research. In view of the above...

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Wind power forecast based on broad learning system and simplified long short term memory network.

Publication Type: Academic Journal

Source(s): IET Renewable Power Generation (Wiley-Blackwell); Dec2022, Vol. 16 Issue 16, p3614-3628, 15p

Abstract: Copyright of IET Renewable Power Generation (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, ...

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Short Term Load Forecasting under extensive Power Outages using Domestic Energy Meter Load Profile; A case study.

Publication Type: Academic Journal

Source(s): Journal of Engineering Research (2307-1877). 2022 Special Issue, Vol. 10, p1-12. 12p.

Abstract: Short-term load forecasting (STLF) is an obligatory and vibrant part of power system planning and dispatching. It is utilized for short and running targets in power system planning. Electricity consumption has nonlinear patterns due to its reliance on ...

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