Recent advances in the analysis of residential electricity consumption and applications of smart meter data
The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …
interest in utilising smart meters. Smart meter penetration has significantly increased over …
Artificial intelligence and statistical techniques in short-term load forecasting: a review
Electrical utilities depend on short-term demand forecasting to proactively adjust production
and distribution in anticipation of major variations. This systematic review analyzes 240 …
and distribution in anticipation of major variations. This systematic review analyzes 240 …
Houseec: Day-ahead household electrical energy consumption forecasting using deep learning
I Kiprijanovska, S Stankoski, I Ilievski, S Jovanovski… - Energies, 2020 - mdpi.com
Short-term load forecasting is integral to the energy planning sector. Various techniques
have been employed to achieve effective operation of power systems and efficient market …
have been employed to achieve effective operation of power systems and efficient market …
Evaluating feature selection methods for short-term load forecasting
AM Pirbazari, A Chakravorty… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Identifying an appropriate set of predictors is important for making efficient and accurate
forecasting models. In this paper, we study the application of some feature selection …
forecasting models. In this paper, we study the application of some feature selection …
Scenario forecasting of residential load profiles
Load forecasting is an integral part of power system operations and planning. Due to rising
penetrations of rooftop PV, electric vehicles and demand response programs, forecasting …
penetrations of rooftop PV, electric vehicles and demand response programs, forecasting …
Energy performance prediction of vapor-injection air source heat pumps in residential buildings using a neural network model
Vapor injection is a relative new technique used on air source heat pumps to enhance the
coefficient of performance under low outdoor temperatures. The new system–vapor-injection …
coefficient of performance under low outdoor temperatures. The new system–vapor-injection …
Smart Metering Applications
In this chapter, the smart metering applications are classified with respect to the
stakeholders that are mainly interested in their deployment and can have the highest profit …
stakeholders that are mainly interested in their deployment and can have the highest profit …
From home energy management systems to energy communities: methods and data
This paper introduces the HEMStoEC database, which contains data recorded in the course
of two research projects, NILMforIHEM, and HEMS2IEA, for more than three years. To be …
of two research projects, NILMforIHEM, and HEMS2IEA, for more than three years. To be …
Enhancing household-level load forecasts using daily load profile clustering
E Barbour, M González - Proceedings of the 5th Conference on Systems …, 2018 - dl.acm.org
Forecasting the electricity demand for individual households is important for both consumers
and utilities due to the increasing decentralized nature of the electricity system. Particularly …
and utilities due to the increasing decentralized nature of the electricity system. Particularly …
Forecasting electricity consumption in residential buildings for home energy management systems
Prediction of the energy consumption is a key aspect of home energy management systems,
whose aim is to increase the occupant's comfort while reducing the energy consumption …
whose aim is to increase the occupant's comfort while reducing the energy consumption …