Integrating submetering and NILM for building smart readiness

This article examines how submetering (Intrusive Load Monitoring- ILM) and Non-Intrusive Load Monitoring (NILM) can enhance smart readiness in residential buildings. Submetering provides precise data on energy use across different zones or systems, enabling detailed audits, cost allocation, and performance optimisation, though it often requires costly infrastructural changes. NILM offers a more scalable alternative by using a single meter and advanced algorithms to estimate energy use by individual appliances, though its accuracy can be challenged by complex loads. The proposed framework introduces both methods, allowing for a step-by-step increase in monitoring complexity as needed. By enabling finer control of individual loads in a building, this framework contributes to achieving smart readiness in residential buildings for more sustainable and intelligent living environments by optimising energy efficiency, operational performance, and occupant engagement while reducing costs.

Publication Details

Journal
Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
Published
2024-10-01
Primary Topic
Ichthyology and Marine Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating submetering and NILM for building smart readiness

Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
Ichthyology and Marine Biology
article

Integrating submetering and NILM for building smart readiness

article en

Abstract

This article examines how submetering (Intrusive Load Monitoring- ILM) and Non-Intrusive Load Monitoring (NILM) can enhance smart readiness in residential buildings. Submetering provides precise data on energy use across different zones or systems, enabling detailed audits, cost allocation, and performance optimisation, though it often requires costly infrastructural changes. NILM offers a more scalable alternative by using a single meter and advanced algorithms to estimate energy use by individual appliances, though its accuracy can be challenged by complex loads. The proposed framework introduces both methods, allowing for a step-by-step increase in monitoring complexity as needed. By enabling finer control of individual loads in a building, this framework contributes to achieving smart readiness in residential buildings for more sustainable and intelligent living environments by optimising energy efficiency, operational performance, and occupant engagement while reducing costs.

Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
Affordable and clean energy
Openalex Percentile: Top 36%
Ichthyology and Marine Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrating submetering and NILM for building smart readiness · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (2024) | TGRS Research Map | TGRS