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Short-term load forecasting [PDF]
Proceedings of the IEEE, 1987 This paper discusses the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over an interval ranging from one hour to one week. The paper reviews the important role of STLF in the on-line scheduling and security functions of an energy management system (EMS).
George Gross, Francisco D. Galiana
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Short-term forecasting of the coronavirus pandemic. [PDF]
Int J Forecast, 2022 We have been publishing real-time forecasts of confirmed cases and deaths from coronavirus disease 2019 (COVID-19) since mid-March 2020 (published at www.doornik.com/COVID-19). These forecasts are short-term statistical extrapolations of past and current data.
Doornik JA, Castle JL, Hendry DF.
europepmc +3 more sources
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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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
doaj +1 more source
Forecasting the World Economy in the Short Term [PDF]
The World Economy, 2009 Abstract(1433) Audrone Jakaitiene and Stephane DeesForecasting the world economy is a difficult task given the complex interrelationships within and across countries. This paper proposes a number of approaches to forecast short‐term changes in selected world economic variables and aims, first, at ranking various forecasting methods in terms of forecast
Jakaitiene, Audrone, Dées, Stéphane
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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
doaj +1 more source
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
doaj +1 more source
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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