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Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …
has a great interest to investors and energy policy maker as well as government. Literature …
A new hybrid model for short-term electricity load forecasting
MR Haq, Z Ni - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays electricity load forecasting is important to further minimize the cost of day-ahead
energy market. Load forecasting can help utility operators for the efficient management of a …
energy market. Load forecasting can help utility operators for the efficient management of a …
Smart home energy optimization with incentives compensation from inconvenience for shifting electric appliances
Demand management programs help utilities to reduce the load demand during high
wholesale electricity price or system peak periods to maintain the system reliability and …
wholesale electricity price or system peak periods to maintain the system reliability and …
A hierarchical control framework with a novel bidding scheme for residential community energy optimization
Residential energy optimization provides economic and reliability benefits to the electric
utility and consumers. Two major challenges in community energy optimization are: 1) to …
utility and consumers. Two major challenges in community energy optimization are: 1) to …
An intelligent mechanism for energy consumption scheduling in smart buildings
In recent years, the incorporation of sensing technology into residential buildings has given
rise to the concept of” smart buildings”, aimed at enhancing resident comfort. These …
rise to the concept of” smart buildings”, aimed at enhancing resident comfort. These …
A new incentive-based optimization scheme for residential community with financial trade-offs
Demand-side management and incentive-based optimization have the potential to improve
energy efficiency of modern smart homes and smart communities. Existing approaches only …
energy efficiency of modern smart homes and smart communities. Existing approaches only …
Techno economic analysis of optimal load scheduling approach in a standalone hybrid microgrid system
To increase the profitability of a standalone hybrid microgrid system, an optimized load
scheduling strategy is required. The aim of this paper is to establish a mavin load scheduling …
scheduling strategy is required. The aim of this paper is to establish a mavin load scheduling …
[HTML][HTML] An autonomous home energy management system using dynamic priority strategy in conventional homes
With the growth in smart technology, customers have a chance to contribute to demand
response programs and reduce their bills of electricity actively. This paper presents an …
response programs and reduce their bills of electricity actively. This paper presents an …
Optimization of Residential Net Load Using Demand Response and Battery Storage
Demand side management (DSM) and solar-plus-storage systems are enabling
technologies that facilitate consumers to increase self-consumption (SC), while reducing …
technologies that facilitate consumers to increase self-consumption (SC), while reducing …
A computational intelligence approach for residential home energy management considering reward incentives
The residential sector's energy consumption share is increasing in recent years. Demand
response (DR) is a typical way to schedule consumers' energy consumption and help utility …
response (DR) is a typical way to schedule consumers' energy consumption and help utility …