Council on Energy, Environment and Water
(CEEW), New Delhi
Consultant -
Power Markets
Terms of reference
At CEEW, we are deliberate about what we stand for (and what
we don’t stand for!) as an employer. So, if the below description strikes a
chord, we would love to hear from you!
● We offer strong visionary leadership – with emphasis on
research and impact at scale
● We actively promote leadership by initiative
● We celebrate talent and ambition
● You will be surrounded by smart people who will
challenge you and help you grow
● You will learn faster than your peers in other organisations
● Curiosity and irreverence, as well as responsibility,
come together at CEEW
● You will get above-market remuneration
● We provide a safe space for all
● At CEEW, your life is your example for others
Designation
offered
Consultant – Power Markets
Team/ Focus area
Power Markets
New Delhi, India
1 year
Programme Associate / Programme Lead
The
Power Markets team at CEEW is seeking a Consultant to join our dynamic team and
expand ongoing research on building evidence for accelerated renewable energy
(RE) offtake in the power grid, as well as the corresponding need for building
evidence on delivering reliable power through renewables. The role will include
conducting literature reviews of statistical and advanced models used to
forecast demand and RE power for the short and medium term, identifying the
gaps and identifying integrated approaches to minimise the uncertainty for
renewables.
This position requires a strong demonstrable experience
in time series analysis, data science and machine learning models, with an
ability to apply real-world scenarios. The candidate should also be informed of
the basics of power system scheduling and operations so that he/she/they can
understand and support the change in business-as-usual approach towards
forecasting and scheduling power generators.
Job duties and accountabilities
Primary responsibilities
Research
● Review various approaches, including data requirements,
tools and techniques used in Indian states, industries and globally for short
(day / week-ahead) and medium (seasonal) forecasting for solar, wind, and
demand
● Consultations on the existing forecasting methods and
challenges faced by developers, Renewable Energy Implementation Agencies, and
key industry players in the sector
● Identify integrated approaches to improve the
predictability of renewables and power demand
● Assist the team in testing the implications and
readiness of the generation and demand uncertainties in the power sector using
grid modelling tools
● Support the team in utilising statistical techniques
and metaheuristic algorithms to support the RE integration strategies, while
diversifying the risk of uncertainty
● Stay informed about developments in the technological
and regulatory landscapes related to renewable energy and demand forecasting,
as well as operational planning and scheduling practices.
Programme Assistance
● Assist with project implementation, including preparing
tools, presentations, factsheets, reports and other communication material.
● Contribute policy memos and technical documentation as
part of the research team
● Accompany team members for meetings with other
stakeholders, and prepare formats for data collection.
Selection
Criteria
Qualification
● Completed a Master’s or doctorate degree with a
specialisation in the application of data science or machine learning in power
systems, energy systems, renewable energy technologies, or related fields
● Demonstrable experience of at least 2 years in data and
time series models will be advantageous.
Key Skills
● Strong ability to review, analyse statistical and
probabilistic models widely used in time series analysis to forecast solar,
wind and demand
● Proficiency in using Python libraries, linear and
non-linear optimisation techniques and MS Excel
● Prior experience in conducting a vast literature review
on numerical mathematical models
● Ability to learn new tools to manage, process and drive
insights from acquired data
● Prior understanding of the power sector schedule and
operations, and relevant policy and regulatory environment
● Ability to effectively work in an interdisciplinary
team while being able to independently drive research with minimum assistance
when time demands
CEEW operates in a dynamic
environment and the candidate will be required to show flexibility in undertaking
a variety of tasks.
Compensation
Competitive
compensation – commensurate to the experience and matching the best of
standards adopted by industry or other similar organisations for similar roles.
Application Process
CEEW is an equal
opportunity employer and the selection process does not discriminate on the
basis of age, gender, caste, ethnicity, religion, or sexuality. Female
candidates are encouraged to apply.
Applications will be reviewed on
a rolling basis. Interested applicants are advised to apply at the earliest
possible.
Only shortlisted candidates will
be notified by us. We appreciate your interest.
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