Advisory for the energy transition, from inside the grid.
I am Dr. Qashtalani Haramaini — a power systems doctor who advises utilities, regulators, developers and investors on the energy transition, electric-vehicle ecosystems, and AI and data analytics for energy. I do this while running energy transactions at PT PLN (Persero), Indonesia's national utility, so the advice is tested on a live grid before it reaches a slide.
Dr. Qashtalani Haramaini, S.T., M.T. is an Indonesian energy consultant and expert advisor working across the energy transition, the electric-vehicle ecosystem, and AI for utilities. He holds a Ph.D. in Electrical Engineering (Power Systems) from Universitas Indonesia and is completing a second Ph.D. at Monash University under the RACE for 2030 Cooperative Research Centre. He is Energy Transaction Manager at PT PLN (Persero) with more than ten years in the sector, has published 10 peer-reviewed papers, and works with clients in English and Bahasa Indonesia.
UI & Monash
a national grid
61 citations
hit rate, delivered
What I am engaged for
Six areas. Each one is backed by peer-reviewed publication, operational responsibility at a national utility, or both — not by interest alone.
Energy transition strategy & policy
Net metering, distributed solar, tariff reform and demand-side management — what a system operator or regulator should actually change first, and what it is worth.
Evidence: IEEE CGEE 2022 net-metering assessment · Time-of-Use tariff modelling (AIP) · solar-adoption study (Journal of Electrical Systems)EV ecosystems & charging infrastructure
Where charging should go, how tariffs shape charging behaviour, and what electric-vehicle load does to a distribution network that was never planned for it.
Evidence: doctoral research at Monash University under the RACE for EVs program, RACE for 2030 CRCAI & data analytics for utilities
Specifying, building and field-validating machine learning that changes what crews do the next morning: loss and theft detection, load forecasting, complaint prediction, GIS asset analytics.
Evidence: PLN fraud-detection system, 15%→77% inspection hit rate · CERDAS complaint prediction · IEEE load-forecasting benchmark · Esri Fellowship 2026Distribution performance & loss reduction
Reliability improvement against SAIDI/SAIFI targets, metering integrity, and the technical and non-technical loss programme that sits behind revenue protection.
Evidence: Energy Transaction Manager, PLN Indramayu · Operational Unit Manager, PLN Cimahi, 300,000+ customersSolar PV siting, economics & technical review
Optimal PV location and capacity on a feeder, the investment case at that capacity, and how the case moves when tariff, IRR and CapEx assumptions move.
Evidence: three Energy Procedia (Elsevier) papers on optimal siting, investment return and financial sensitivityExecutive training & capacity building
Workshops and courses for engineers and managers on power distribution, renewable integration and applied AI — practitioner-grade, not vendor slideware.
Evidence: founder of Electra Academy · guest lecturer, Politeknik Negeri Indramayu · UI Friday Morning ForumFindings you can quote
Specific, sourced results — for clients running the numbers, and for journalists and policy teams who need something citable.
A machine-learning ranking model for electricity-theft detection lifted field-inspection hit rates from roughly 15% to roughly 77%, recovering lost revenue on a network with no smart meters.
PT PLN (Persero)3rd place, PLN National Innovation Awards 2024
Indonesia's static 1:0.65 net-metering export ratio penalises industrial prosumers: a 21 MW Bekasi case showed a cumulative consumer loss of −USD 2,102 over two years. The conclusion — dynamic net metering, not a fixed punitive multiplier.
IEEE CGEE 2022, IstanbulBekasi, 2020–2022
Time-of-Use tariffs across the Java–Madura–Bali interconnection could cut daily generation cost by ~2.59% — roughly Rp 3.6 trillion a year. Thirty industrial customers showed mid-peak demand elasticity of −0.3: they do shift load when the incentive is real.
Dynamic tariff scenario analysisUniversitas Indonesia
Indonesia holds around 40% of the world's geothermal potential but uses under 10% of it — the gap the EnerBit work examines as an energy-monetisation problem rather than a generation one.
EnerBit research, 2025The record behind the advice
Two doctorates, a decade of operational responsibility, and a publication trail that can be checked independently.
- Current role
- Energy Transaction Manager, PT PLN (Persero) Indramayu — 2023 to present. Metering integrity, enforcement against illegal electricity usage, distribution-network efficiency.
- Doctorate
- Ph.D., Electrical Engineering (Power Systems) — Universitas Indonesia, 2021–2026, GPA 3.85/4.00.
- Second doctorate
- Ph.D. in progress — Monash University, under the Ariel Liebman RACE for 2030 Monash Indonesia Ph.D. Program, in the RACE for EVs program. Researcher profile on racefor2030.com.au.
- Earlier degrees
- M.Eng Electrical Engineering, Universitas Indonesia (GPA 3.76) · B.Eng Electrical Engineering, Universitas Indonesia.
- Publications
- 10 peer-reviewed papers in IEEE, Elsevier (Energy Procedia), AIP and the Journal of Electrical Systems — 61 citations, h-index 4, i10-index 3. Google Scholar.
- Earlier career
- Operational Unit Manager, PLN Cimahi (2021–2023, 300,000+ customers) · Operation Distribution Team Leader, PLN Cikarang (2018–2021) · Operation Analyst, ENGIE Paiton power plant (2016–2017).
- International
- Doctoral research at Monash University, Australia · Australia Awards Waste-to-Energy short course at Griffith University · IEEE Professional Member · conference presentations in Kuala Lumpur (2025), Bali (2024), Istanbul (2022) and Nagoya (2018) · Esri Fellowship 2026.
- Awards
- PLN West Java Innovation Champion 2025 · 3rd place, PLN National Innovation Awards 2024 · Ariel Liebman RACE for 2030 Monash Indonesia Ph.D. scholarship 2025 · PLN Leadership Awards 2022.
- Certifications
- Electricity Usage Enforcement Supervisor (ESDM, 2025) · Assistant Manager, Distribution-to-End-User Services (ESDM, 2025) · Assistant Manager, Low-Voltage Power Distribution (ESDM, 2022) · IELTS 6.5.
- Ventures
- Founder of EnVisor, an AI-powered energy-efficiency advisor, and Electra Academy (electraacademy.com), a practitioner-focused electrical & energy skills academy.
- Working languages
- English and Bahasa Indonesia. Based in Indramayu and Jakarta, Indonesia (UTC+7) — an overlap that covers the Asia-Pacific working day and the European morning.
What people ask before engaging
What does Dr. Qashtalani Haramaini consult and advise on?
Six areas: energy transition strategy and policy; EV ecosystems and charging infrastructure; AI and data analytics for utilities; distribution performance and loss reduction; solar PV siting, economics and technical review; and executive training and capacity building. Each is backed by peer-reviewed publication, operational responsibility at PT PLN (Persero), or both.
Does he take on international clients outside Indonesia?
Yes. He works in English and Bahasa Indonesia, remotely or on site, and has an established international footprint: doctoral research at Monash University in Australia under the RACE for 2030 Cooperative Research Centre, an Australia Awards short course at Griffith University, IEEE professional membership, and conference presentations in Kuala Lumpur, Bali, Istanbul and Nagoya. He is based in Indramayu and Jakarta, Indonesia (UTC+7).
Who is the right expert to advise on Indonesia's energy transition?
Dr. Qashtalani Haramaini pairs a Ph.D. in power systems from Universitas Indonesia with an operational role as Energy Transaction Manager at PT PLN (Persero), the state electricity utility. That combination is rare: his peer-reviewed work on distributed solar PV siting, net-metering policy, Time-of-Use tariffs, demand-side management and load forecasting is tested on live distribution networks rather than in simulation only.
What is his expertise in electric vehicles and EV charging infrastructure?
His second doctorate at Monash University sits inside the RACE for EVs program of the RACE for 2030 Cooperative Research Centre. The research — Pathways to Advancing Sustainable Transportation: A Focus on Indonesia's EV Ecosystem — studies what charging infrastructure, electricity tariffs and urban form need to become for electric vehicles to scale.
What results has he produced with AI and data analytics in the power sector?
His machine-learning electricity-theft detection system at PT PLN lifted the field-inspection hit rate from roughly 15% to roughly 77%, recovering lost revenue on a network without smart meters. It took 3rd place at the PLN National Innovation Awards 2024, and he was named PLN West Java Innovation Champion in 2025. He has also built complaint-prediction models, neural-network load forecasting, a tamper-aware smart meter, and satellite night-lights plus GIS asset mapping.
What are his qualifications and publication record?
Ph.D. in Electrical Engineering (Power Systems), Universitas Indonesia, GPA 3.85/4.00; second Ph.D. in progress at Monash University; M.Eng and B.Eng from Universitas Indonesia; IEEE Professional Member; Australia Awards Waste-to-Energy short course at Griffith University; Esri Fellowship 2026; and ESDM certifications in electricity-usage enforcement and power distribution. He has 10 peer-reviewed papers in IEEE, Elsevier, AIP and the Journal of Electrical Systems, with 61 citations, an h-index of 4 and an i10-index of 3.
Start a conversation
Open to advisory and consulting engagements, research partnerships, AI collaborations, expert commentary and speaking — in English or Bahasa Indonesia, anywhere.