Results 1 to 10 of about 453,935 (179)
Online short-term solar power forecasting [PDF]
Solar Energy, 2009 This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h.
Bacher, Peder +2 more
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Short-Term Load Forecasting [PDF]
Proceedings of the IEEE, 1988 Some of the decision and control functions discussed in this book require knowledge of future load behavior. In unit commitment, for example, hourly system loads for the next 24–72 hours are required. Some unit commitment programs even require knowledge of future loads for the next week, i.e., 168 hours.
G. Gross, F.D. Galiana
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Solar Radiation Forecasting Based on the Hybrid CNN-CatBoost Model
IEEE Access, 2023 The renewable energy industry is rapidly expanding due to environmental pollution from fossil fuels and continued price hikes. In particular, the solar energy sector accounts for about 48.7% of renewable energy, at the highest production ratio ...
Hyojeoung Kim +4 more
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Hybrid Techniques for Short Term Load Forecasting
Majlesi Journal of Electrical Engineering, 2023 Short Term Load Forecasting (STLF) is the projection of system load demands for the next day or week. Because of its openness in modeling, simplicity of implementation, and improved performance, the ANN-based STLF model has gained traction.
Saroj Panda, Papia Ray, Surender Salkuti
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A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
IEEE Access, 2021 In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
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Short-term forecasts of expected deaths [PDF]
Proceedings of the National Academy of Sciences, 2021 Significance We introduce a simple but powerful method for analyzing mortality after a major shock. We apply the method to show, more conclusively than up to now, that Denmark, which imposed a lockdown during the first wave of the coronavirus pandemic, suffered considerably lower risks of death than Sweden, which did not impose a lockdown ...
Silvia Rizzi, James W. Vaupel
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IET Renewable Power Generation, 2022 The increasing penetration of photovoltaic (PV) systems into the electrical energy systems brings forward several technical and economic issues that mostly relate to their unpredictable nature.
Despoina Kothona +2 more
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Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid
Energies, 2020 This study forecasts electricity demand in a smart grid environment. We present a prediction method that uses a combination of forecasting values based on time-series clustering.
Heung-gu Son, Yunsun Kim, Sahm Kim
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Short Term Probabilistic Load Forecasting With Integrated Methods [PDF]
E3S Web of Conferences, 2019 In smart grid era, electric load is becoming more stochastic and less predictable in short horizons with more intermittent energy and competitive electricity market transactions.
Zhang Manying +5 more
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Short-term load forecasting method for power system based on key feature optimization
Zhejiang dianli, 2023 Accurate forecasting of short-term power load is an important condition for the safe and economic operation of the power system. To improve the accuracy of short-term load forecasting for the power system， a short-term load forecasting method based on ...
ZHU Geng +4 more
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