Energy data analysis

Swathi Shenoy; Siddhartha .; D. R. Akshay

doi:10.1109/IPACT.2017.8245180

Energy data analysis

Swathi Shenoy, Siddhartha ., D. R. Akshay

Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Energy audit program is an ongoing strategy for controlling building energy consumptions. The recent crises/ burden related to environmental impacts are increasing effectively and it draws attention towards utilization of solar energy. Data-driven techniques based on the operational parameters as inputs and corresponding predictive analytics measures for energy consumption as the outcome. The process of Analyzing is to break down the complex objects into simpler forms for achieving the goals. The use of R statistical tool has become more prominent mode of analyzing huge quantity of data. Auditing incorporates the principles of sustainable designs and energy efficient solutions for building projects mainly seeks to locate, design, construct and service operations to reduce negative impact on environment and consumption of natural resources.

Original language	English
Title of host publication	2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781509056828
DOIs	https://doi.org/10.1109/IPACT.2017.8245180
Publication status	Published - 02-01-2018
Event	2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 - Vellore, India Duration: 21-04-2017 → 22-04-2017

Conference

Conference	2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017
Country/Territory	India
City	Vellore
Period	21-04-17 → 22-04-17

All Science Journal Classification (ASJC) codes

Control and Optimization
Computer Science Applications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Artificial Intelligence
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IPACT.2017.8245180

Cite this

@inproceedings{ca0b46d4f8664c2c9785eda8b855a815,

title = "Energy data analysis",

abstract = "Energy audit program is an ongoing strategy for controlling building energy consumptions. The recent crises/ burden related to environmental impacts are increasing effectively and it draws attention towards utilization of solar energy. Data-driven techniques based on the operational parameters as inputs and corresponding predictive analytics measures for energy consumption as the outcome. The process of Analyzing is to break down the complex objects into simpler forms for achieving the goals. The use of R statistical tool has become more prominent mode of analyzing huge quantity of data. Auditing incorporates the principles of sustainable designs and energy efficient solutions for building projects mainly seeks to locate, design, construct and service operations to reduce negative impact on environment and consumption of natural resources.",

author = "Swathi Shenoy and Siddhartha . and Akshay, {D. R.}",

year = "2018",

month = jan,

day = "2",

doi = "10.1109/IPACT.2017.8245180",

language = "English",

volume = "2017-January",

pages = "1--6",

booktitle = "2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 ; Conference date: 21-04-2017 Through 22-04-2017",

}

TY - GEN

T1 - Energy data analysis

AU - Shenoy, Swathi

AU - ., Siddhartha

AU - Akshay, D. R.

PY - 2018/1/2

Y1 - 2018/1/2

N2 - Energy audit program is an ongoing strategy for controlling building energy consumptions. The recent crises/ burden related to environmental impacts are increasing effectively and it draws attention towards utilization of solar energy. Data-driven techniques based on the operational parameters as inputs and corresponding predictive analytics measures for energy consumption as the outcome. The process of Analyzing is to break down the complex objects into simpler forms for achieving the goals. The use of R statistical tool has become more prominent mode of analyzing huge quantity of data. Auditing incorporates the principles of sustainable designs and energy efficient solutions for building projects mainly seeks to locate, design, construct and service operations to reduce negative impact on environment and consumption of natural resources.

AB - Energy audit program is an ongoing strategy for controlling building energy consumptions. The recent crises/ burden related to environmental impacts are increasing effectively and it draws attention towards utilization of solar energy. Data-driven techniques based on the operational parameters as inputs and corresponding predictive analytics measures for energy consumption as the outcome. The process of Analyzing is to break down the complex objects into simpler forms for achieving the goals. The use of R statistical tool has become more prominent mode of analyzing huge quantity of data. Auditing incorporates the principles of sustainable designs and energy efficient solutions for building projects mainly seeks to locate, design, construct and service operations to reduce negative impact on environment and consumption of natural resources.

UR - http://www.scopus.com/inward/record.url?scp=85045768426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045768426&partnerID=8YFLogxK

U2 - 10.1109/IPACT.2017.8245180

DO - 10.1109/IPACT.2017.8245180

M3 - Conference contribution

VL - 2017-January

SP - 1

EP - 6

BT - 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017

Y2 - 21 April 2017 through 22 April 2017

ER -

Energy data analysis

Abstract

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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