Impact of COVID-19 Pandemic on Qatar Electricity Demand and Load Forecasting: Preparedness of Distribution Networks for Emerging Situations

Article Chemistry, Multidisciplinary

Economic Energy Allocation of Conventional and Large-Scale PV Power Plants

Omar Jouma El-Hafez et al.

Summary: Over the past few decades, there has been significant progress in reducing the cost of photovoltaic (PV) energy. Large PV systems are now being connected to the electricity grid to provide power during the day. However, transmitting and distributing this electricity through the grid results in power losses. Therefore, it is important to have an optimal energy allocation between conventional power plants and large-scale PV power plants to minimize costs. This paper presents a generic model for economic energy allocation that takes into account operational aspects and contractual provisions. The model can be used in the design or operation phases to minimize operating costs and can be applied to any country or electricity system.

APPLIED SCIENCES-BASEL (2022)

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Review Energy & Fuels

Effects of the COVID-19 Pandemic on Energy Systems and Electric Power Grids-A Review of the Challenges Ahead

Aviad Navon et al.

Summary: The COVID-19 pandemic has brought about uncertainty and open questions regarding its mid-to-long term impacts on the global energy sector. Further research and discussion are needed on how the pandemic will affect power system operation and planning.

ENERGIES (2021)

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Article Energy & Fuels

Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method

Xiaoyu Lin et al.

Summary: This study utilizes the LSTM algorithm to predict building electricity consumption, finding that predicting air conditioning power consumption is more challenging and requires adding humidity and scheduling parameters.

ENERGIES (2021)

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Article Energy & Fuels

Performance Evaluation of Forecasting Strategies for Electricity Consumption in Buildings

Sarah Hadri et al.

Summary: This paper investigated three main approaches for electricity consumption forecasting and evaluated the performance of XGBOOST, LSTM, and SARIMA algorithms. Experimental results showed the effectiveness of these algorithms in short-term electricity consumption forecasting.

ENERGIES (2021)

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Article Energy & Fuels

The Impact of COVID-19 on Electricity Demand Profiles: A Case Study of Selected Business Clients in Poland

Marcin Malec et al.

Summary: The study analyzed the impact of the COVID-19 pandemic on energy consumption profiles and demand of business clients, revealing significant decreases in energy consumption for shopping centers and offices due to pandemic restrictions. Overall, energy consumption dropped by 15-23% during the first lockdown and a maximum of 11% during the second, below expected values.

ENERGIES (2021)

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Article Economics

Quantifying the impact of COVID? 19 preventive measures on traffic in the State of Qatar

Deepti Muley et al.

Summary: The global COVID-19 pandemic has led to limited mobility worldwide, with movement restrictions significantly impacting traffic volumes. Implementing preventive measures resulted in an overall 30% reduction in traffic demand when all measures were active, accompanied by decreases in traffic violations and total crashes.

TRANSPORT POLICY (2021)

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Article Energy & Fuels