Results 21 to 30 of about 649,385 (296)
Residential Power Load Forecasting
Procedia Computer Science, 2014 AbstractThe prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for ...
Day, Patrick +6 more
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Model predictive load scheduling using solar power forecasting [PDF]
2016 American Control Conference (ACC), 2016 In this paper a model is developed to solve the on/off scheduling of (non-linear) dynamic electric loads based on predictions of the power delivery of a (standalone) solar power source. Knowledge of variations in the solar power output is used to optimally select the timing and the combinations of a set of given electric loads, where each load has a ...
Habib, Abdulelah H. +2 more
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Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting [PDF]
, 2020 As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years.
Chen, Yanhua +3 more
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Complex, 2022 Over the decades, a rapid upsurge in electricity demand has been observed due to overpopulation and technological growth. The optimum production of energy is mandatory to preserve it and improve the energy infrastructure using the power load forecasting (
F. Ullah +5 more
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Exploiting road traffic data for very short term load forecasting in smart grids [PDF]
, 2014 If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J +5 more
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Short-Term Power Load Forecasting of Integrated Energy System Based on Attention-CNN-DBILSTM
Mathematical Problems in Engineering, 2022 In view of the fact that the potential high-dimensional features in the historical sequence are difficult to be effectively extracted by traditional power load forecasting methods and the coupling factors of electricity, heat, and gas have not been ...
Zongjun Yao +3 more
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Power Load Forecasting Considering Climate Factors Based on IPSO-Elman Method in China
Energies, 2022 In order to implement the national need for the optimal allocation of power resources, power load forecasting, as an important research topic, has important theoretical and practical significance.
Jicheng Liu, Yu Yin
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Optimization for Electric Power Load Forecast
International Journal of Electrical and Computer Engineering (IJECE), 2018 Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known.
I. A. Ethmane +3 more
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IEEE Access, 2021 With rapid advancements in renewable energy sources, billing mechanism (AMI), and latest communication technologies, the traditional control networks are evolving towards wise, versatile and collaborative Smart Grids (SG).
Khursheed Aurangzeb +3 more
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Research on Regional Short-Term Power Load Forecasting Model and Case Analysis
Processes, 2021 Integrated energy services will have multiple values and far-reaching significance in promoting energy transformation and serving “carbon peak and carbon neutralization”.
K. Qian, Xinyi Wang, Yue Yuan
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