Peak demand
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Is a 100% renewable European power system feasible by 2050? Open
In this study, we model seven scenarios for the European power system in 2050 based on 100% renewable energy sources, assuming different levels of future demand and technology availability, and compare them with a scenario which includes l…
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Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States Open
Significance The existing empirical literature on the impacts of climate change on the electricity sector has focused on changing electricity consumption patterns. In this paper, we show that incorporating impacts on the frequency and inte…
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Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications Open
With building electric demand becoming increasingly dynamic, and a growing percentage of intermittent renewable power generation from solar photovoltaics and wind turbines, the power grid is facing increasing challenge to manage the real t…
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From demand response to integrated demand response: review and prospect of research and application Open
In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of multi-energy systems …
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Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand Open
Automated vehicles (AVs) promise many benefits for future mobility. One of them is a reduction of the required total vehicle fleet size, especially if AVs are used predominantly as shared vehicles. This paper presents research on this pote…
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Impacts of Demand-Side Management on Electrical Power Systems: A Review Open
Electricity demand has grown over the past few years and will continue to grow in the future. The increase in electricity demand is mainly due to industrialization and the shift from a conventional to a smart-grid paradigm. The number of m…
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Agent-Based Aggregated Behavior Modeling for Electric Vehicle Charging Load Open
Widespread adoption of electric vehicles (EVs) would significantly increase the overall electrical load demand in power distribution networks. Hence, there is a need for comprehensive planning of charging infrastructure in order to prevent…
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Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods Open
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a distribution network and its reliability. Generally, monitoring energy consumption has become one of the most important factors in green and micro grids…
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Impacts of rising air temperatures on electric transmission ampacity and peak electricity load in the United States Open
Climate change may constrain future electricity supply adequacy by reducing electric transmission capacity and increasing electricity demand. The carrying capacity of electric power cables decreases as ambient air temperatures rise; simila…
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Sector coupling <i>via</i> hydrogen to lower the cost of energy system decarbonization Open
Sector coupling via H 2 could significantly reduce the cost of energy system decarbonization by providing extra flexibility for variable renewable energy integration.
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Optimized demand side management (DSM) of peak electricity demand by coupling low temperature thermal energy storage (TES) and solar PV Open
Cooling in the industry sector contributes significantly to the peak demand placed on an electrical utility grid. New electricity tariff structures include high charges for electricity consumption in peak hours which leads to elevated annu…
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An Innovative Optimization Strategy for Efficient Energy Management With Day-Ahead Demand Response Signal and Energy Consumption Forecasting in Smart Grid Using Artificial Neural Network Open
In this study, a novel framework is proposed for efficient energy management of residential buildings to reduce the electricity bill, alleviate peak-to-average ratio (PAR), and acquire the desired trade-off between the electricity bill and…
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Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes Open
The smart grid plays a vital role in decreasing electricity cost through Demand Side Management (DSM). Smart homes, a part of the smart grid, contribute greatly to minimizing electricity consumption cost via scheduling home appliances. How…
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Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential Open
As the share of renewable energy sources in the energy mix is increasing, new challenges arise regarding the grid integration. This research focuses on a solution for one of these challenges, namely the employment of batteries to address t…
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The potential for peak shaving on low voltage distribution networks using electricity storage Open
Co-location of energy storage with demand provides several benefits over other locations, while still being able to provide balancing services to the grid. One of these additional benefits is deferral of distribution infrastructure reinfor…
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Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications Open
Recent attention to industrial peak shaving applications sparked an increased interest in battery energy storage. Batteries provide a fast and high power capability, making them an ideal solution for this task. This work proposes a general…
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Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review Open
The concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy su…
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Model Predictive Control Home Energy Management and Optimization Strategy with Demand Response Open
The growing demand for electricity is a challenge for the electricity sector as it not only involves the search for new sources of energy, but also the increase of generation capacity of the existing electrical infrastructure and the need …
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Consumption-Aware Data Analytical Demand Response Scheme for Peak Load Reduction in Smart Grid Open
The exponential increase in load demand of the residential sector results in decreased quality of service and increased demand-supply gap in the electricity market. To tackle these concerns, utilities need to manage the demand response (DR…
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Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts Open
Long-term forecasts of the aggregate electric load profile are crucial for grid investment decisions and energy system planning. With current developments in energy efficiency of new and renovated buildings, and the coupling of heating and…
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Peak-Load Management in Commercial Systems With Electric Vehicles Open
Electric vehicles (EVs) are getting popular as one of the effective solutions for increased energy efficiency in commercial systems. This paper proposes an improved algorithm for commercial peak-load management using EVs, battery-energy-st…
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Optimal energy management in all-electric residential energy systems with heat and electricity storage Open
Residential demand profiles typically demonstrate a mismatch between energy demand and PV supply. Different solutions are proposed, such as demand side management and energy storage systems. Nevertheless, costs and environmental impacts of…
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Impact of the COVID-19 Pandemic on the U.S. Electricity Demand and Supply: An Early View From Data Open
After the onset of the recent COVID-19 pandemic, a number of studies reported on possible changes in electricity consumption trends. The overall theme of these reports was that "electricity use has decreased during the pandemic, but the po…
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Decarbonising domestic heating: What is the peak GB demand? Open
This is an open access article under the CC BY license \n(http://creativecommons.org/licenses/BY/4.0/).
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The relationship between wind power, electricity demand and winter weather patterns in Great Britain Open
Wind power generation in Great Britain has increased markedly in recent years. However due to its intermittency its ability to provide power during periods of high electricity demand has been questioned. Here we characterise the winter rel…
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Quantifying the impact of residential space heating electrification on the Texas electric grid Open
In this technical analysis, we studied the effects of complete electrification of space heating in the Texas residential sector on the energy consumption, peak power demand, and grid capacity utilization in the Electric Reliability Council…
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Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings Open
The energy demand in buildings represents a considerable share of the overall energy use. Given the significance and acknowledged flexibility of thermostatically controlled loads, they represent an interesting option for the implementation…
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Optimizing Energy Consumption in the Home Energy Management System via a Bio-Inspired Dragonfly Algorithm and the Genetic Algorithm Open
Due to the exponential increase in the human population of this bio-sphere, energy resources are becoming scarce. Because of the traditional methods, most of the generated energy is wasted every year in the distribution network and demand …
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Benefits of demand-side response in combined gas and electricity networks Open
Active demand side response (DSR) will provide a significant opportunity to enhance the power system flexibility in the Great Britain (GB). Although electricity peak shaving has a clear reduction on required investments in the power system…
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Utilization of EV Charging Station in Demand Side Management Using Deep Learning Method Open
Conventional energy sources are a major source of pollution. Major efforts are being made by global organizations to reduce CO2 emissions. Research shows that by 2030, EVs can reduce CO2 emissions by 28%. However, two major obstacles affec…