In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 7
IoT In eg a ion o Sma G id E iciency
1Dabba a Jayanayudu, 2T Sujila ha
1Associa e P o esso , Depa men o ECE, Siddha h Ins i u e o Enginee ing & Technology, Pu u , India.
[email protected]
2Assis an P o esso , Depa men o CSE, N.B.K.R. Ins i u e o Science and Technology, Vidyanaga , India.
sujila ha@nbk is .o g
Abs ac : The e olu ion o sma g ids is closely ied o he ad ancemen s in In e ne o Things (IoT) echnologies, enabling eal- ime
moni o ing, wo-way communica ion, in elligen con ol, and in eg a ion o enewable ene gy sou ces. This pape p esen s a s uc u ed e iew
o ecen li e a u e highligh ing he ole o IoT in enhancing sma g id pe o mance wi h espec o ene gy e iciency, secu i y, and da a-d i en
au oma ion. Despi e no able p og ess, challenges such as da a in e ope abili y, cybe secu i y, and sys em scalabili y emain c i ical. To add ess
hese issues, a comp ehensi e IoT-D i en Sma G id E iciency F amewo k (ISGEF) is p oposed, comp ising ou laye s—pe cep ion, ne wo k,
da a p ocessing, and applica ion. This laye ed a chi ec u e suppo s modula i y, eal- ime decision-making, secu e communica ion, and e ec i e
ene gy managemen . The p oposed amewo k is designed o acili a e seamless in eg a ion ac oss esiden ial, indus ial, and dis ibu ed
gene a ion scena ios, while p omo ing sus ainabili y and esilience. Implemen a ion s a egies, echnological choices, and po en ial bene i s a e
discussed o suppo u u e sma g id de elopmen and esea ch di ec ions.
Keywo ds: Big da a, Cybe secu i y, Ene gy Managemen , In e ne o Things, Sma G id.
1 INTRODUCTION
The exponen ial g ow h in ene gy demand, u baniza ion, and he p oli e a ion o enewable ene gy sou ces ha e accele a ed
he de elopmen and deploymen o sma g id echnologies. Unlike adi ional powe sys ems, sma g ids a e cha ac e ized by
hei abili y o enable wo-way communica ion, decen alized con ol, and eal- ime decision-making h ough he in eg a ion o
ad anced in o ma ion and communica ion echnologies. Among hese, he In e ne o Things (IoT) has eme ged as a pi o al
enable , playing a ans o ma i e ole in he mode niza ion o powe in as uc u e.
IoT-d i en sma g ids acili a e seamless connec i i y among de ices, senso s, and con ol uni s, allowing o au oma ed
moni o ing, adap i e load managemen , and p edic i e main enance. This in eg a ion con ibu es signi ican ly o enhancing ene gy
e iciency, educing ope a ional cos s, and imp o ing g id eliabili y and sus ainabili y. Fo ins ance, IoT-based amewo ks a e
being used o moni o and con ol subs a ions, in eg a e enewable ene gy sou ces, and manage elec ic ehicle loads in eal ime,
hus ad ancing he pe o mance and adap abili y o powe dis ibu ion ne wo ks [1]. Mo eo e , IoT-based ene gy managemen
sys ems, when coupled wi h in elligen algo i hms such as hyb id FHO-RERNN, ha e shown p omising esul s in op imizing
demand esponse and minimizing powe cos s [2].
Despi e i s po en ial, he in eg a ion o IoT in sma g ids in oduces se e al challenges, including massi e da a gene a ion,
eal- ime da a p ocessing, in e ope abili y, and c i ical secu i y conce ns. The as olumes o ene gy da a gene a ed by IoT de ices
necessi a e obus big da a managemen sys ems o ex ac ac ionable insigh s, enhance g id obse abili y, and suppo s a egic
planning [3]. Fu he mo e, as he communica ion in as uc u e expands, sa egua ding p i acy and p e en ing cybe h ea s
becomes pa amoun . The in oduc ion o secu e models such as pos -quan um blockchain a chi ec u es and og compu ing-based
enc yp ion schemes highligh s ongoing e o s o p o ec da a in eg i y and use p i acy in IoT-enabled sma g ids [4][5].
This pape aims o p o ide a comp ehensi e e iew o ecen ad ancemen s in IoT in eg a ion o sma g id e iciency. I
syn hesizes indings ac oss di e se a eas including ene gy managemen , da a secu i y, g een IoT p ac ices, and communica ion
p o ocols. A concep ual amewo k is p oposed based on his syn hesis, ou lining a laye ed IoT a chi ec u e ailo ed o sma g id
applica ions. The objec i e is o highligh key enable s, exis ing gaps, and u u e esea ch di ec ions essen ial o ealizing e icien ,
secu e, and sus ainable sma g id ecosys ems.
2 BACKGROUND AND KEY CONCEPTS
The mode n elec ic powe in as uc u e is unde going a ans o ma i e shi om con en ional g ids o in elligen , sel -
egula ing sma g ids. A Sma G id is an ad anced elec ical g id ha in eg a es digi al communica ion, au oma ion, and
in o ma ion echnologies o enhance he eliabili y, e iciency, and sus ainabili y o elec ici y p oduc ion and dis ibu ion. I
enables wo-way lows o elec ici y and da a, suppo s he in eg a ion o dis ibu ed ene gy esou ces, and acili a es eal- ime
moni o ing and con ol.
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 8
2.1 Sma G id A chi ec u e
A ypical sma g id sys em comp ises se e al key componen s:
• Sma Me e s ha p o ide eal- ime in o ma ion on consump ion.
• Ad anced Me e ing In as uc u e (AMI) o da a collec ion and communica ion.
• Supe iso y Con ol and Da a Acquisi ion (SCADA) sys ems o moni o ing and con ol.
• Dis ibu ed Ene gy Resou ces (DERs) such as sola and wind sys ems.
• Communica ion Ne wo ks o eliable da a exchange.
• Ene gy Managemen Sys ems (EMS) ha ensu e op imal ope a ion.
The in eg a ion o hese componen s allows o demand-side managemen , load balancing, ou age de ec ion, and mo e e ec i e
esou ce u iliza ion [6].
2.2 Role o he In e ne o Things (IoT)
The In e ne o Things (IoT) is cen al o he e olu ion o sma g ids. I e e s o a ne wo k o physical de ices—equipped
wi h senso s, ac ua o s, and communica ion in e aces— ha collec and exchange da a wi hou human in e en ion. In he sma
g id con ex , IoT de ices p o ide:
• Real- ime moni o ing o powe pa ame e s and load condi ions [1].
• Au oma ed con ol o sma appliances, subs a ions, and dis ibu ed sys ems [7].
• Remo e diagnos ics and p edic i e main enance, educing down ime and main enance cos s.
• Da a-d i en op imiza ion o powe gene a ion, dis ibu ion, and consump ion.
By enabling decen alized in elligence and bi-di ec ional communica ion, IoT con ibu es signi ican ly o imp o ing g id
s abili y and ene gy e iciency.
2.3 IoT Communica ion and P ocessing Laye s
IoT in eg a ion in sma g ids can be concep ualized in laye ed a chi ec u e:
• Pe cep ion Laye : Includes senso s, sma me e s, and ac ua o s ha in e ac wi h physical in as uc u e.
• Ne wo k Laye : Facili a es communica ion ia echnologies such as ZigBee, 5G, LoRaWAN, and Wi-Fi.
• Da a P ocessing Laye : Uses edge compu ing, og compu ing, and cloud pla o ms o p ocess and analyze da a [5].
• Applica ion Laye : In e aces wi h u ili ies and consume s, suppo ing applica ions such as sma billing, home
au oma ion, and load o ecas ing.
Each laye mus be e icien ly designed o ensu e scalabili y, in e ope abili y, and low la ency, while also add essing
cybe secu i y and da a p i acy conce ns.
2.4 E iciency Dimensions in Sma G ids
E iciency in sma g ids ex ends ac oss mul iple dimensions:
• Ene gy E iciency: Reduced ene gy losses and op imized consump ion using eal- ime da a and sma con ols [8].
• Ope a ional E iciency: Au oma ion o g id ope a ions, aul de ec ion, and apid esponse mechanisms [6].
• Cos E iciency: Demand esponse mechanisms and dynamic p icing o educe peak loads and elec ici y bills [2].
• En i onmen al E iciency: Suppo o enewable in eg a ion and G een IoT s a egies o sus ainabili y [9].
Wi h he inc easing p oli e a ion o dis ibu ed ene gy esou ces and elec ic ehicles, achie ing e icien managemen o
ene gy esou ces h ough IoT has become mo e c ucial han e e .
3 LITERATURE REVIEW
The in eg a ion o IoT echnologies in o sma g ids has been widely explo ed in ecen yea s, wi h signi ican con ibu ions
add essing di e se aspec s such as secu i y, ene gy managemen , communica ion in as uc u e, da a p ocessing, and sus ainabili y.
This sec ion p esen s a hema ic syn hesis o key ad ancemen s and limi a ions om con empo a y li e a u e.
3.1 Secu i y and P i acy in IoT-Enabled Sma G ids
Secu i y emains a majo conce n in IoT-d i en sma g ids, pa icula ly due o he as numbe o in e connec ed de ices and
he sensi i i y o eal- ime ene gy da a.
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 9
M. T. Naz e al. add essed his issue by p oposing a Sel -De ensi e Pos -Quan um Blockchain A chi ec u e (SD-PQBA)
designed o p o ec SCADA sys ems om bo h classical and quan um cybe h ea s [4]. Thei app oach in oduces a no el
consensus mechanism—P oo o De i ed Au ho i y (PoDA)—and a pos -quan um c yp og aphic scheme, enhancing he esilience
o c i ical in as uc u e agains e ol ing a acks. Simila ly, N. Sh u i e al. p oposed an enc yp ion-based og compu ing model o
p o ec sma g id da a a he edge laye [5]. Thei sys em agg ega es enc yp ed da a a og nodes be o e ans e ing i o he cloud,
educing la ency and mi iga ing p i acy isks associa ed wi h cen alized s o age. I ou pe o ms exis ing da a agg ega ion
echniques in e ms o communica ion cos , s o age, and ansmission e iciency.
F om a policy and a chi ec u al s andpoin , A. Akkad e al. de eloped a secu i y model inco po a ing 45 secu i y con ols
aligned wi h se en majo cybe secu i y equi emen s o IoT-enabled sma g ids [10]. The model emphasizes he lack o buil -in
secu i y in exis ing g id designs and p esen s a ounda ion o egula o y and echnical sa egua ds.
3.2 IoT-Based Ene gy Managemen and Demand Response
E icien ene gy use is a p ima y goal o sma g ids, and IoT echnologies a e cen al o ealizing in elligen ene gy
managemen . A. N. Ba uah e al. p oposed a Sma Ene gy Managemen Sys em (SEMS) ha in eg a es an IoT middlewa e and
ene gy con olle s o op imizing demand-side egula ion, pa icula ly in HVAC sys ems [8]. The eal- ime con ol based on
en i onmen al da a demons a ed conside able ene gy sa ings. Expanding his concep , C. Balasub amanian and R. L. R. Singh
p esen ed a hyb id FHO-RERNN echnique o demand esponse in IoT-based sma g ids [2]. Thei me hod o ecas s ene gy
demand using a Recalling Enhanced Recu en Neu al Ne wo k (RERNN), ollowed by op imiza ion wi h a Fi e Hawk Op imize
(FHO). Simula ion esul s indica e ha hei model educes bo h ene gy cos s and he peak- o-a e age a io mo e e ec i ely han
o he op imiza ion me hods.
3.3 Da a Managemen and Communica ion In as uc u e
Wi h he massi e da a gene a ed by sma g ids, obus da a p ocessing and communica ion in as uc u e a e essen ial. A. R.
Al-Ali e al. conduc ed a de ailed s udy on big da a sys ems in sma g ids, ou lining he olume, eloci y, and a ie y o ene gy
da a [3]. They p oposed a laye ed big da a a chi ec u e encompassing s o age, p ocessing, and isualiza ion ools. Thei use-case
model demons a es how ene gy da a can be mone ized h ough e ec i e in eg a ion o IoT and cloud pla o ms. Complemen ing
his, Md. O. Qays e al. e iewed communica ion echnologies and p o ocols speci ic o IoT-assis ed sma g ids [7]. Thei wo k
ca ego ized key a chi ec u es, discussed bi-di ec ional powe low, and emphasized he need o s anda dized communica ion
amewo ks. They also highligh ed esea ch gaps in he in e ope abili y and scalabili y o IoT sys ems in ene gy in as uc u e.
M. A. Aloma ocused on coope a i e communica ion in sma g ids using IoT [6]. The s udy p oposed an IoT in as uc u e
ha allows de ices o au onomously collec , sha e, and ac on ene gy da a, pa icula ly in mul icas en i onmen s. This amewo k
suppo s bidi ec ional in o ma ion low and in eg a es dis ibu ed enewable ene gy sou ces, imp o ing sys em esponsi eness and
lexibili y.
3.4 Renewable In eg a ion and Sma Subs a ions
Z. Ullah e al. p oposed an IoT-based moni o ing and con ol sys em o subs a ions and dis ibu ed sma g ids [1]. Thei
amewo k acili a es eal- ime decisions ega ding in eg a ion and seg ega ion o mic og ids in o he powe dis ibu ion ne wo k,
while also managing load om di e se sec o s, including elec ic ehicles. By le e aging IoT and HOMER G id® simula ion, he
sys em imp o ed g id s abili y, educed emissions, and op imized ene gy usage. Thei s udy demons a es how eal- ime IoT da a
can guide ene gy p oduce s and dis ibu ion companies in making ope a ional decisions ha educe powe luc ua ions and
imp o e e iciency in dis ibu ed sys ems.
3.5 G een IoT and Sus ainable Sma G ids
Sus ainabili y in sma g id de elopmen is inc easingly add essed h ough G een IoT p ac ices. P. Pandiyan e al. p o ided a
comp ehensi e e iew o G een IoT, highligh ing i s ole in educing he en i onmen al oo p in o sma g ids [9]. They explo ed
echnologies such as wi eless senso ne wo ks, og compu ing, and machine- o-machine communica ion o p omo e ene gy-
e icien designs and sus ainable p ac ices. The s udy also emphasized he ole o edge compu ing in educing la ency and
imp o ing he e iciency o eal- ime applica ions, he eby p omo ing en i onmen ally conscious deploymen o IoT in as uc u e.
3.6 Specialized IoT Applica ions in Sma Ci y In as uc u e
Al hough no ocused di ec ly on powe sys ems, he wo k by S. Khemakhem and L. K ichen on sma s ee ligh ing sys ems
o e s aluable insigh s in o IoT in eg a ion in b oade u ban in as uc u e [11]. Thei s udy e iewed he deploymen o LED
ligh ing, wi eless senso s, and eal- ime con ol o achie e signi ican ene gy sa ings in public ligh ing.
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 10
Thei indings a e ele an o auxilia y se ices connec ed o he g id and highligh implemen a ion challenges such as
in eg a ion, scalabili y, and cybe secu i y.
4 PROPOSED FRAMEWORK FOR IOT-DRIVEN SMART GRID EFFICIENCY
The hema ic li e a u e analysis e eals ha IoT in eg a ion in o sma g ids is mul i ace ed, in ol ing secu e communica ion,
eal- ime da a acquisi ion, e icien ene gy usage, and sus ainable ope a ions. Howe e , cu en implemen a ions o en ope a e in
isola ion wi hou a cohesi e, s anda dized amewo k ha add esses in e ope abili y, scalabili y, and end- o-end secu i y. This
sec ion p oposes a uni ied IoT-d i en Sma G id E iciency F amewo k (ISGEF) o add ess hese limi a ions and s eamline sma
g id unc ionali y.
4.1 O e iew o he F amewo k
The ISGEF is s uc u ed in o ou in e dependen laye s, each esponsible o speci ic unc ions in he sma g id ecosys em:
1. Pe cep ion Laye (Sensing & Da a Acquisi ion)
This laye includes sma me e s, senso s, ac ua o s, and in elligen elec onic de ices (IEDs) deployed ac oss he g id. These
de ices moni o ene gy consump ion, powe quali y, empe a u e, ol age, equency, and mo e in eal ime [1]. The laye suppo s
ene gy moni o ing in homes, subs a ions, elec ic ehicle cha ging s a ions, and enewable ene gy uni s.
2. Ne wo k Laye (Communica ion In as uc u e)
This laye ensu es secu e, as , and eliable da a ansmission using echnologies such as ZigBee, LoRaWAN, 5G, Wi-Fi, and
op ical ibe [7]. I suppo s bo h sho - and long- ange communica ion, depending on applica ion scena ios. Redundancy and
Quali y o Se ice (QoS) mechanisms a e embedded o handle a iable da a olumes and ansmission delays.
3. Da a P ocessing Laye (Compu a ion and In elligence)
Once da a is collec ed and ansmi ed, i is p ocessed in his laye using:
• Edge compu ing and og nodes o ensu e low-la ency p ocessing [5];
• Cloud pla o ms o cen alized s o age, la ge-scale analy ics, and machine lea ning-d i en demand p edic ion [2];
• Big da a pipelines ha ex ac ac ionable in elligence and enable isualiza ion dashboa ds o ope a o s [3].
Secu i y mechanisms like enc yp ion, blockchain, and iden i y au hen ica ion ope a e in his laye o ensu e da a in eg i y and
p i acy [4].
4. Applica ion Laye (Decision Suppo and Con ol)
This op laye in e aces wi h u ili ies, egula o s, and consume s. I suppo s a a ie y o sma g id se ices:
• Dynamic demand-side managemen .
• Load o ecas ing and peak load mi iga ion.
• Renewable in eg a ion decisions.
• Sma billing and eal- ime use ale s.
• P edic i e main enance.
• Dis ibu ed gene a ion con ol.
• Public in as uc u e se ices such as s ee ligh ing [11].
4.2 Key Fea u es o he F amewo k
• Secu i y-by-Design: Inco po a ion o pos -quan um c yp og aphy, og-based enc yp ion, and cybe secu i y models
o p o ec end- o-end da a lows [4][10]].
• Ene gy Op imiza ion: P edic i e load managemen and in elligen scheduling algo i hms educe ene gy cos s and
use incon enience [2].
• Sus ainabili y: Adop ion o G een IoT p inciples o minimize ene gy consump ion by senso s and communica ion
modules [9].
• Modula Scalabili y: Each laye is modula , enabling easy upg ades o in eg a ion wi h eme ging echnologies, such
as elec ic ehicle (EV) cha ging sys ems o dis ibu ed sola gene a ion [1].
• In e ope abili y: Use o s anda dized p o ocols and APIs ensu es ha new de ices o se ices can seamlessly plug
in o he sys em [7].
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 11
4.3 Concep ual A chi ec u e Diag am
The concep ual diag am, gi en in Fig. 1, illus a es he laye ed a chi ec u e o he p oposed IoT-D i en Sma G id E iciency
F amewo k (ISGEF).
Fig.1. Concep ual A chi ec u e o P oposed Me hod
Each laye has a de ined ole, wi h upwa d da a low and downwa d con ol low ensu ing seamless and secu e in e ac ion
ac oss he sys em:
• Pe cep ion Laye ac s as he ounda ion by sensing and in e ac ing wi h he physical en i onmen . Sma me e s,
senso s, ac ua o s, and SCADA sys ems con inuously moni o powe pa ame e s, appliance s a us, wea he da a, and
aul condi ions. These componen s ini ia e eal- ime da a collec ion equi ed o highe -le el p ocessing and
decision-making.
• Ne wo k Laye ensu es seamless communica ion be ween g id componen s using echnologies sui ed o di e en
co e age and bandwid h needs. Fo example, ZigBee and LoRaWAN a e employed o local de ice communica ion,
while 5G and Wi-Fi p o ide high-speed, low-la ency ansmission o c i ical con ol ope a ions. The choice o
p o ocol di ec ly impac s la ency, eliabili y, and scalabili y.
• Da a P ocessing Laye handles he massi e and he e ogeneous da a gene a ed by he g id. Edge compu ing is used
o ime-sensi i e applica ions such as aul de ec ion and elay con ol. Fog compu ing agg ega es da a close o
subs a ions and local g ids, enabling as e egional decision-making. Cloud compu ing suppo s cen alized
analy ics, machine lea ning models o demand p edic ion, and use dashboa ds.
• Applica ion Laye o e s ac ionable insigh s and se ices o g id ope a o s, u ili y p o ide s, and consume s. Sma
me e ing allows consume s o ack usage in eal ime. Demand esponse sys ems adjus loads based on eal- ime
p icing and g id s ess. Ene gy managemen sys ems op imize supply-demand balance, inco po a ing enewables and
elec ic ehicle cha ging in eal ime.
The modula design enables easy upg ades—such as in eg a ing u u e communica ion p o ocols, new c yp og aphic me hods,
o enhanced ene gy analy ics modules—wi hou o e hauling he en i e sys em.
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 12
4.4 Implemen a ion Scena ios
The p oposed amewo k can be deployed ac oss mul iple eal-wo ld scena ios:
• Residen ial A eas: Sma homes equipped wi h IoT-enabled appliances, oo op sola , and sma me e s can moni o
usage and au oma e load shi ing based on a i signals.
• Indus ial G ids: Real- ime moni o ing o powe -in ensi e p ocesses, p edic i e main enance o equipmen , and
pa icipa ion in demand esponse p og ams h ough og-based con ol sys ems.
• Public In as uc u e: Sma ligh ing sys ems wi h mo ion senso s and adap i e dimming based on oo a ic o
ehicle mo emen [11].
• Dis ibu ed Ene gy Resou ce (DER) Ne wo ks: Sola a ms, wind u bines, and mic og ids in eg a ed wi h
SCADA and IoT o e icien esou ce scheduling and islanding ope a ions [1].
4.5 Ad an ages o he P oposed F amewo k
The ISGEF add esses se e al exis ing limi a ions in IoT-sma g id sys ems and o e s key bene i s:
• Enhanced E iciency: By p ocessing da a close o he sou ce, he amewo k minimizes ansmission delays and
ene gy loss.
• Imp o ed Secu i y: Inco po a ion o pos -quan um and og-based enc yp ion echnologies s eng hens da a in eg i y
[4][5].
• En i onmen al Sus ainabili y: G een IoT s a egies and ene gy-awa e ou ing p o ocols con ibu e o educed
ca bon oo p in [9].
• Scalabili y and Flexibili y: The laye ed a chi ec u e allows in eg a ion o di e se ene gy sou ces, legacy sys ems,
and eme ging applica ions (e.g., EVs, V2G, pee - o-pee ading).
• Real-Time Responsi eness: Suppo s au onomous g id ope a ion, aul de ec ion, sel -healing, and dynamic load
balancing [7].
5 CONCLUSIONS
The in eg a ion o In e ne o Things (IoT) echnologies wi hin sma g id in as uc u es is ans o ming how elec ici y is
p oduced, dis ibu ed, moni o ed, and consumed. This pape examined key li e a u e ha demons a es he signi icance o IoT in
achie ing highe ene gy e iciency, secu e da a handling, eal- ime moni o ing, and in elligen decision-making in powe sys ems.
The e iewed wo ks collec i ely emphasize he u gen need o cohesi e amewo ks ha add ess no only unc ional equi emen s
bu also he g owing challenges o cybe secu i y, sus ainabili y, and scalabili y. To add ess hese gaps, a laye ed IoT-D i en Sma
G id E iciency F amewo k (ISGEF) has been p oposed. This amewo k o ganizes he sma g id in o ou laye s—pe cep ion,
ne wo k, da a p ocessing, and applica ion—each wi h clea ly de ined oles and in e dependencies. The modula s uc u e suppo s
eal- ime sensing, secu e communica ion, decen alized and cen alized p ocessing, and se ice-le el decision-making. I le e ages
eme ging echnologies such as edge/ og compu ing, pos -quan um enc yp ion, and machine lea ning o enhance e iciency ac oss
ope a ional, economic, and en i onmen al dimensions.
The p oposed a chi ec u e is e sa ile, allowing deploymen in esiden ial, indus ial, and dis ibu ed ene gy se ings. I p o ides
a bluep in o u u e sma g id designs ha a e mo e esponsi e, secu e, and sus ainable. Fu he mo e, by syn hesizing
ad ancemen s in IoT, communica ion p o ocols, da a analy ics, and secu i y, he ISGEF amewo k aligns wi h he ision o sel -
op imizing, in elligen ene gy sys ems. Fu u e wo k may ocus on implemen ing he p oposed a chi ec u e in eal-wo ld es beds,
e alua ing pe o mance ac oss a ious g id con igu a ions, and ex ending i wi h suppo o eme ging pa adigms like pee - o-pee
ene gy ading, blockchain-based ene gy c edi s, and AI-based p edic i e con ol.
FUNDING INFORMATION
This esea ch ecei ed no speci ic g an om any unding agency in he public, comme cial, o no - o -p o i sec o s.
ETHICS STATEMENT
This s udy did no in ol e human o animal subjec s and, he e o e, did no equi e e hical app o al.
STATEMENT OF CONFLICT OF INTERESTS
The au ho s decla e no con lic s o in e es ela ed o his s udy.
LICENSING
This wo k is licensed unde a C ea i e Commons A ibu ion 4.0 In e na ional License.
In e na ional Jou nal o Eme ging Resea ch in Science, Enginee ing, and Managemen
Vol. 1, Issue 2, pp.07-13, Augus 2025.
www.ije sem.com eISSN – 3107-9075
IJERSEM@2025 h ps://doi.o g/10.58482/ije sem. 1i2.2 13
REFERENCES
[1] Z. Ullah e al., “IoT-based moni o ing and con ol o subs a ions and sma g ids wi h enewables and elec ic ehicles
in eg a ion,” Ene gy, ol. 282, p. 128924, Aug. 2023, doi: 10.1016/j.ene gy.2023.128924.
[2] C. Balasub amanian and R. L. R. Singh, “IOT based ene gy managemen in sma g id unde p ice based demand
esponse based on hyb id FHO-RERNN app oach,” Applied Ene gy, ol. 361, p. 122851, Ma . 2024, doi:
10.1016/j.apene gy.2024.122851.
[3] A. R. Al-Ali, R. Gup a, I. Zualke nan, and S. K. Das, “Role o IoT echnologies in big da a managemen sys ems: A
e iew and Sma G id case s udy,” Pe asi e and Mobile Compu ing, ol. 100, p. 101905, Feb. 2024, doi:
10.1016/j.pmcj.2024.101905.
[4] M. T. Naz, W. Elmedany, and M. Ali, “Secu ing SCADA sys ems in sma g ids wi h IoT in eg a ion: A Sel -
De ensi e Pos -Quan um Blockchain A chi ec u e,” In e ne o Things, p. 101381, Sep. 2024, doi:
10.1016/j.io .2024.101381.
[5] N. Sh u i, S. Rani, M. Shabaz, A. K. Du a, and E. A. Ahmed, “Enhancing p i acy and secu i y in IoT-based sma
g id sys em using enc yp ion-based og compu ing,” Alexand ia Enginee ing Jou nal, ol. 102, pp. 66–74, Jun. 2024,
doi: 10.1016/j.aej.2024.05.085.
[6] M. A. Aloma , “An IOT based sma g id sys em o ad anced coope a i e ansmission and communica ion,”
Physical Communica ion, ol. 58, p. 102069, Ap . 2023, doi: 10.1016/j.phycom.2023.102069.
[7] Md. O. Qays, I. Ahmad, A. Abu-Siada, Md. L. Hossain, and F. Yasmin, “Key communica ion echnologies,
applica ions, p o ocols and u u e guides o IoT-assis ed sma g id sys ems: A e iew,” Ene gy Repo s, ol. 9, pp.
2440–2452, Jan. 2023, doi: 10.1016/j.egy .2023.01.085.
[8] A. N. Ba uah, M. S. Akku , J. Se h, and J. Shah, “In eg a ing Senso Ne wo ks o Facili a e E icien Ene gy
Managemen o Sma G ids,” Measu emen Senso s, ol. 36, p. 101393, Oc . 2024, doi:
10.1016/j.measen.2024.101393.
[9] P. Pandiyan, S. Sa a anan, R. Kannadasan, S. K ishna eni, M. H. Alsha i , and M.-K. Kim, “A comp ehensi e
e iew o ad ancemen s in g een IoT o sma g ids: Pa ing he pa h o sus ainabili y,” Ene gy Repo s, ol. 11, pp.
5504–5531, May 2024, doi: 10.1016/j.egy .2024.05.021.
[10] A. Akkad, G. Wills, and A. Rezazadeh, “An in o ma ion secu i y model o an IoT-enabled Sma G id in he Saudi
ene gy sec o ,” Compu e s & Elec ical Enginee ing, ol. 105, p. 108491, No . 2022, doi:
10.1016/j.compeleceng.2022.108491.
[11] S. Khemakhem and L. K ichen, “A comp ehensi e su ey on an IoT-based sma public s ee ligh ing sys em
applica ion o sma ci ies,” F anklin Open, ol. 8, p. 100142, Aug. 2024, doi: 10.1016/j. aope.2024.100142.
